Total 90 job vacancies in Singapore

Responsibilities :

Team Leadership & Technical Direction

• Lead a multidisciplinary team of engineers to deliver engineering solutions ensuring team capabilities align with customer expectations.
• Provide direction, expert advice, mentoring, and workflow management, including task prioritization and resource coordination, to achieve project objectives and milestones.
• Provide technical guidance to engineering teams in line with the agreed architecture, ensuring both effectiveness and adherence to customer requirements.
• Provide functional encompassing the Thales Performance Management framework management for reporting delivery roles

Promote knowledge sharing, ensuring work products are sufficiently documented for reuse across projects.

Project & Process Management

• Oversee the timely delivery of artifacts and releases in line with program milestones.
• Facilitate and lead technical reviews, workshops, peer reviews, and project reviews as required by the program.
• Ensure delivery in accordance with Thales processes and practices, actively contributing to their continuous improvement

Support discipline managers in defining and tailoring applicable processes, practices, and tools for the project

Stakeholder Engagement & Communication

• Communicate, analyse, plan, and report as necessary to align team capabilities with customer requirements
• Ensure clear and effective communication (both written and verbal) with internal and external customers
• Manage customer scope in line with the approved baseline and schedule

Manage customer expectations and provide support during requirements analysis, proposing and negotiating mutually beneficial (“win-win”) solutions

Risk, Quality & Reporting

• Identify and assess risks, propose effective solutions, execute mitigation actions, and report on outcomes, cost savings, and residual risks
• Define and maintain metrics to monitor progress, measure performance, identify issues early, and support informed decision-making to ensure successful delivery

Prepare and lead monthly Technical and Financial Reviews (TFR) sessions and support the Work Package review process

Commercial & Bid Support

• Support bid activities and contribute to the preparation and review of engineering cost estimates for modification proposals to the functional baseline

Qualifications

·       Degree inEngineering, Computer Science, IT or other relevant qualification

Essential Experience

·       Solid experienceof managing the development of real time distributed complex software centricsolutions in a safety critical environment (10+ years)

·       A recognisedleader with solid experience in managing multi-skilled global engineering teamsand fostering a collaborative and productive work environment

·       Solid knowledgeand experience in Systems Engineering lifecycle (eg. EIA632, ISO/IEC15288)

·       Advancedanalytical and problem-solving skills, with the ability to engage a wide rangeof stakeholders across a complex environment

·       Solid experiencein upskilling and training new engineers

·       Strongexperience using Earned Value Management, Work Package Control and reporting,with exposure to scheduling tools (MS Project, Primavera etc.)

·       Financial /budgetary management of engineering work packages or tasks

·       Strong abilityto communicate effectively with various stakeholders, including Project,Engineering Delivery Managers, Product Owners, Technical Design Authorities,Speciality engineers and the engineering team under management.

·       Collaborationtools including Jira, Confluence etc.

Desirable:

·       Air TrafficManagement domain expertise (inc. standards such as ICAO, Eurocontrol, AIDC)

·       Experience inproduct delivery using agile methodologies like Lean methods (including PDCA,Kanban, Value-Stream Mapping).  Priorexperience working in an Agile@Scale framework is a bonus

General/SpecialRequirements

GENERAL

·       Assist inensuring a harmonious work environment in all departments that you are workingwith by upholding Thales' key values.

·       An advocate forcontinuous improvement and knowledge sharing

·       An advocate fordiversity and inclusion who will be actively involved in implementing changeinitiatives to achieve our diversity goals

·       An advocate fora culture of continuous improvement

·       An advocate forAccountability, transparency and curiosity

·       Comply with allrelevant company Occupational Health, Safety and Environmental policies andframework and work practices with the intent of preventing or minimisingaccidental exposures to self, colleagues, visitors and/or the environment andto ensure a safe work practises at all times.

·       Comply with allrelevant Company policies and procedures.

SPECIAL REQUIREMENTS

• Be eligible for Security Clearance from the Singapore Ministry of Home Affairs (CAT2)

·       Occasional international travel may be required

Get to know the Team

Developer experience is building our next-gen build and testing capabilities for all backend engineers in Grab. The team has been hard at work and has consolidated a significant portion of our legacy services onto a unified CI pipeline using standardised testing frameworks. We aim to bring joy, delight and excellence into the daily work of Grab engineers.

Get to know the Role

Our tools are used by thousands of engineers in Grab. We build tools and platforms to help Grab engineers build their applications quickly and safely, improve the testing process and quality of their apps, ensure the health of the CI/CD pipelines, increase observability of our applications in production, create end-to-end automation for different workflows, and create common libraries to power the common use cases in the different apps that powers the millions of transactions that happens in the Grab ecosystem.

You will look after backend related tools and platforms to help improve the productivity of Grab engineers.

This role is onsite based in our HQ, Singapore office.

The Critical Tasks You will Perform

• You will support teams of engineers to build the next gen build and test platform that allows Grab engineers to improve their products and services without regressions.
• You will build foundational tools so that Grab engineers don't have to reinvent the wheel.
• You will work with Grab engineers to solve their custom problems, and make them more productive.
• You will work with the team on the following:
• Architect efficient and scalable systems.
• Write high-quality and well documented code, and ensure documentation of our tools & platforms are up-to-date.
• Safely roll-out large changes and updates that impact hundreds of engineers.
• Identify and resolve performance and scalability issues.
• Participate in design discussions and code reviews.Be part of on-call for the tools and platforms we own, and participate in post-mortems for any incidents.

What Essential Skills You will Need

• At least 8 years in platform / Software engineering, with at least 2 years managing teams.
• A solid grasp of the software development lifecycle: how services are built, tested, released, and operated.
• Hands-on exposure to GitLab, and specifically to CI pipelines and runners.
• Experience in all the layers of the backend testing pyramid: unit tests, integration tests, end-to-end tests, API testing (REST, Protobuf, GraphQL), coverage, performance testing, load testing.
• Proven engineering management experience: setting roadmap, leading a team, and driving delivery.
• Ability to own prioritization directly, including making independent technical judgment calls under ambiguity and time pressure.
• Strong cross-team collaboration and stakeholder communication, with comfort operating across multiple concurrent priorities.
• An operations and stability mindset suited to critical system.

Candidates are expected to:-

• To be responsible for running and maintenance of the engine room and deck machinery of the tug.
• To be responsible for the bunkering, monitoring and recording of fuel/oil consumption of the craft.
• To attend to minor repairs of tug equipment and machinery.
• To report and record in the Engine Log Book any breakdown of engine, machinery and any accident.
• To submit timely the detailed PM defect list prior to the PM schedule date.
• To assist Technicians during repairs and PMs.
• To ensure that the machinery, equipment, etc, on board the tug are greased and maintained regularly.
• To handle towlines/tow winch and equipment during tug operations as instructed by the Tug Master.
• To carry out cleaning and maintenance work of tug, deck, engine room, wheelhouse and other equipment and appliances on board tug.
• To perform lookout duties as required by tug master.
• To attend to the safe securing of tug moored alongside and assist in splicing/replacing of tow ropes.
• To check all life-saving apparatus and other appliances on board tug and ensure its validity and operation readiness.
• To perform fire-fighting duties.
• To comply with the relevant requirements stipulated in the Related Documents above.
• To abide by the company’s Quality Policy and Quality Objectives for service level.
• To abide by the company’s QHSSE Policy, QHSSE Objectives and QHSSE Management Programme.

The ideal candidate must:-

• Possess a valid Port Limit Engine Driver (2nd Class) licence issued by Maritime and Port Authority of Singapore; and
• Be willing to perform shift work.

*Monthly salary as advertised is basic salary. Monthly gross salary includes night shift allowance, night shift special transport allowance, meal allowance, and productivity incentives (after successful clearance of Engineering Officer (Tug) Training Program), where applicable.

*Shortlisted candidates will join us as Trainee Engineering Officer (Tug) and undergo the Engineering Officer (Tug) Training Prorgam. Once he/she completes the training program, he/she will take on the role of Engineering Officer (Tug).

*New hires may be eligible for a sign-on bonus of up to S$3,500. Terms and conditions apply.

(Mechanical) Candidates are expected to:-

• Carry out repair, maintenance, and troubleshooting of machinery onboard PSA Marine harbour crafts
• Liaise with Fleet Operations team on breakdown reports and harbour crafts status
• Perform lathe machining, basic gas welding, and cutting works to facilitate repair to machinery
• Assist in lifting activities, forklift operation, confined space assessment
• Perform proper disposal of used oils and chemicals

(Electrical) Candidates are expected to:-

• Carry out repair, maintenance and troubleshooting of machinery onboard PSA Marine harbour crafts
• Liaise with Fleet Operations team on breakdown reports and harbour crafts status
• Troubleshoot and carry out thorough rectification of deficiencies in machinery and control system
• Perform wiring and connection of electrical cables
• Install electrical and electronic accessories and components

The ideal candidate should preferably:-

• Possess at least a Nitec in Marine Technology, Electrical Engineering, or Mechanical Engineering
• Be proficient in Microsoft Office applications
• Possess a valid Class 3 driving license and MOM accredited certifications such as SSIC, Safety Supervisor, Lifting Supervisor, Forklift Driving
• For Mechanical candidates: Prior experience in performing mechanical fitment, basic gas and TIG welding, hydraulic and pneumatic system troubleshooting will be considered favourably
• For Electrical candidates: Good knowledge of electrical and instrument systems and familiar with electrical schematics diagrams and symbols will be considered favourably
• Candidates with relevant experience may be considered for a senior position

*New hires may be eligible for a sign-on bonus of up to S$3,500. Terms and conditions apply.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what’s possible with video intelligence. 

Job Description 

We are looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28National-Centre-for-Engineering-Biology%29/33480-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking one highly motivated and creative postdoctoral researcher to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).  

The selected Research Fellow will work collaboratively with the Principal Investigator (PI) and our research team on projects aimed at advancing sustainable bioproduction. Appointments will be initially made on a 1-year contract, with the possibility of extension. PhD holders with no experience are welcome to apply.

Ideal candidates will possess expertise in metabolic pathway engineering, microbial engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in metabolic engineering, genome editing and bioprocess development for biochemical production. The successful candidate will assume a pivotal role in advancing the frontier of synthetic biology to address real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Responsibilities:
The Research Fellow is expected to: 
1) Develop biological parts, genetic circuits, or tools for engineering microorganisms; 
2) Metabolically engineer microorganisms with high bioproduction capabilities for industrial applications in the production of value-added biochemicals;
3) Write papers together with the PI for publication in high-impact journals;
4) Mentor research assistants, graduate, and undergraduate students; 
5) Assist in any other duties delegated by the Principal Investigator and group leaders. 

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at suhana_s@nus.edu.sg.

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications, oral presentations, and full contacts of 3 referees) to the NUS Career Portal. Only shortlisted candidates will be notified.

Qualifications

Job Requirements:
1) Hold a PhD in Biotechnology, Biological Sciences, Biochemistry, or related disciplines; 
2) Have extensive knowledge and hands-on experience on genetic parts assembly, pathway engineering, microbial strain engineering, fermentation, recovery and analytics of targeted metabolites; 
3) Have the ability to design and perform experiments for microbial strain engineering, gene expression, protein expression, enzymatic assays, microbial fermentation, and product recovery; 
4) Know how to work independently and in a team, have an investigative nature and a strong attention to detail;
5) Possess an established record of international publications

Key Responsibilities:

• Carry out daily inventory store activities;
• Receive, inspect, and verify incoming materials, goods, and supplies against delivery documentation;
• Issue materials and products in accordance with authorized requests and record all stock movements;
• Work with inventory store manager-in-charge to review process workflow and implement process improvements to increase efficiency and effectiveness;
• Ensure safe, proper and effective housekeeping of inventory store;
• Issue items, update inventory and monitor stock levels;
• Manage disposal of waste and carry out regular inspections of inventory store items and storage conditions;
• Label, store and file stock items and ensure all required documentation are completed;
• Conduct regular stock takes, support reconciliation and compile necessary reports;
• Allocate storage space and ensure safe equipment handling at all times;
• Participate in innovation and work improvement projects;
• Perform any other duties as assigned.
  

The ideal candidate should preferably:-

• Possess at least Nitec/Higher Nitec qualifications; and
• Be willing to perform shift work.

Product area

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Job description

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Additional job description

As a Workspace Trust and Safety Engineering Analyst, you will develop insights on abuse trends and establish a foundation for managing various Trust and Safety escalations across Workspace. This role is crucial in streamlining related processes and ensuring a safer Workspace experience for all users (both consumers and Workspace enterprises). You will be a partner to bring together teams to address the most critical abuse problems impacting our users. You will identify, quantify, and help address the problems and work across Google and the broader industry.

Qualifications

Job responsibilities

• Extract, transform, and analyze Google Workspace log data using advanced analytical methods to solve abuse challenges, investigate escalations to uncover vulnerabilities and tactics used by bad actors.
• Lead comprehensive analyses to deliver insights on abuse trends, directly contributing to the design and improvement of anti-abuse product protections.
• Partner with Engineering, Product Managers (PMs), Program Managers (PgMs), Data Scientists, and external groups to qualify, quantify, and understand complex abuse challenges while co-developing company-wide counter-abuse strategies and improvements.
• Establish foundational frameworks to streamline Workspace Trust and Safety escalations, and quantify the impact of anti-abuse teams to build internal and external awareness of best practices.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
• 2 years of experience in manipulating data sets using SQL or other programming or scripting languages.

Preferred qualifications

• Master's degree in a quantitative discipline.
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• 2 years of experience with machine learning systems.
• Excellent written and verbal communication skills.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

YOUR NEW JOB

As a Security Operations Engineer, you will support Security Operations Centre (SOC) activities, including security monitoring, incident investigation, threat hunting, and incident response.
You will act as a Level 2 security analyst, investigating alerts, identifying threats, supporting remediation activities, and improving overall security operations.
This is a 12-month renewable contract role. Work will be onsite at One-North, Mon – Fri office hours.

WHAT YOU’LL BE DOING

• Investigate and triage security alerts from SIEM, EDR/XDR, email, cloud, identity, and network security platforms
• Analyse security events to determine root cause, scope, and business impact
• Investigate phishing, malware, account compromise, and unauthorized access incidents
• Perform threat hunting activities using threat intelligence and MITRE ATT&CK methodologies
• Support containment, remediation, and recovery activities during security incidents
• Improve SOC processes, playbooks, detection rules, and monitoring capabilities
• Assist with onboarding and integration of new security technologies
• Support security reporting and documentation activities
• Participate in after-hours support when required

WHAT IS NEEDED FROM YOU

• At least 3 years of SOC, cyber security operations, or incident response experience
• Hands-on experience with SIEM, EDR/XDR, cloud security, or identity security platforms
• Strong understanding of cyber attack techniques, threat analysis, and MITRE ATT&CK
• Experience investigating and responding to security incidents independently
• Good analytical, troubleshooting, and problem-solving skill• Strong communication and documentation skills

WHAT WILL MAKE YOU STAND OUT

• Experience working in government, statutory board, or public sector environments
• Experience with threat hunting and advanced incident investigations
• Exposure to security automation, detection engineering, or SOC optimisation projects
• Relevant certifications such as Security+, CySA+, GCIH, GCIA, CEH, SC-200, or equivalent

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.

My client:

My client is a well-established technology company building large-scale, consumer-facing digital platforms used by millions of users globally. The team is highly engineering-driven, with strong emphasis on system reliability, automation, and operational excellence. This role offers the opportunity to work on production-critical systems, collaborate closely with backend and platform engineers, and take real ownership of reliability and infrastructure in a fast-moving, high-impact environment.

Job Responsibilities:

• Ensure high availability and reliability of production systems supporting large-scale online services.
• Own core operational functions including resource management, incident response, capacity planning, monitoring, and reliability improvements.
• Review system and infrastructure designs, proactively identifying potential reliability and scalability risks.
• Analyze system bottlenecks and structural weaknesses, and lead optimization initiatives to improve stability and cost efficiency.
• Participate in 24/7 on-call rotations, responding quickly to production incidents and driving root cause analysis.
• Continuously improve operational processes through automation, reducing manual intervention and operational overhead.

Job Requirements:

• Bachelor’s degree in Computer Science or a related technical field.
• Proficiency in Python, Go, or Shell scripting, with the ability to independently build tools or platforms.
• Solid experience with cloud infrastructure; exposure to multi-cloud or hybrid environments is a plus.
• Strong fundamentals in Linux systems, networking, load balancing, and high-availability / disaster recovery design.
• Hands-on experience operating or supporting large-scale web services in production environments.
• Self-motivated, responsible, and comfortable working in a fast-paced, reliability-critical environment.

What They Offer

• A large-scale, production-grade technical environment supporting high-traffic, consumer-facing platforms.
• A stable yet fast-evolving engineering environment with long-term technical depth and learning potential.
• Close collaboration with experienced engineers in a flat, open, and execution-focused team culture.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

We are seeking a hands-on Technology Lead with strong full-stack engineering expertise to drive the design, development, and enhancement of our mobile and web applications.

This role will play a critical part in strengthening our digital capabilities, bringing deep technical expertise, and elevating engineering standards across the application stack.

1. Full-Stack Engineering Leadership

• Lead end-to-end development across frontend, backend, and mobile application layers
• Drive the design, development, and deployment of scalable, high-performance applications
• Contribute hands-on to coding, architecture, and technical problem-solving

2. Mobile & Web Application Enhancement

• Enhance and modernize existing mobile and web applications to improve performance, scalability, and user experience
• Apply best practices in responsive design, API integration, and cross-platform development
• Ensure alignment with business requirements and digital product roadmap

3. Technical Expertise & Solution Design

• Provide deep technical expertise in system design, architecture, and engineering patterns
• Review and guide technical decisions to ensure robust, maintainable, and secure solutions
• Identify opportunities to optimize performance and reduce technical debt

4. Engineering Excellence & Delivery

• Enforce engineering best practices across development lifecycle (coding standards, testing, CI/CD, DevOps) 
• Ensure high-quality delivery through code reviews, testing practices, and automation
• Drive adoption of modern development frameworks and tools

5. Team Collaboration & Mentorship

• Collaborate with cross-functional teams including product, design, platform, and infrastructure
• Mentor engineers and contribute to capability uplift within the team
• Foster a culture of continuous learning, innovation, and knowledge sharing

Requirements

• At least 12 years experience with minimum 5 years of experience in Mobile App building and maintenance
• Strong hands-on experience in full-stack development (frontend + backend + APIs)
• Experience building and scaling mobile and web applications - customer facing application experience is mandatory
• Proficiency in modern application frameworks and languages (e.g., ReactNative, ReactJS, Java, Python, MySQL, Redis, Azure or GCP)
• Familiarity with cloud platforms and DevOps practices (CI/CD pipelines, containerization, monitoring)
• Strong problem-solving and technical decision-making capabilities
• Ability to balance hands-on engineering with leadership responsibilities
• Strong stakeholder communication and collaboration skills
• Passion for innovation and continuous improvement
• Familiarity with reporting, visualization, and data analytic software packages
• Working knowledge of common wealth management platforms available in market
• Proficiency with Project tracking tools like JIRA, Oneview etc.
• Good in MS Office tools
• Familiarity with MS Visio

Position Overview
 

Autodesk, Inc. (NASDAQ: ADSK) makes software for people who make things. We are a global leader in design and make software for architecture, engineering, construction, manufacturing, and media and entertainment industries. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers have built with our software. At Autodesk, we exist to turn ideas into new realities that shape a thriving future.

Our software and services harness emerging technologies—such as additive manufacturing (3D printing), artificial intelligence, generative design, and robotics—that give companies and individuals the power to work more quickly, effectively, and sustainably throughout the entire project lifecycle.  Fusion is the first 3D CAD, CAM, CAE, and PCB tool of its kind, unifying design, engineering, electronics, and manufacturing to connect your entire product development process into one cloud-based platform. We are looking for a Senior Engineering Manager for Fusion Manufacturing Data Model (MFGDM) team who will manage local team including engineers from Senior to junior. MFGDM is the foundation of Manufacturing Cloud and the core Data Framework for Autodesk Cloud Flagship Product - Fusion.

Our objective is to build manufacturing data model and cloud services to shift from traditional file to granular data and to enable concurrency, integration, automation and collaboration throughout the entire product lifecycle, making it possible to empower customers to design and make better products faster.

The team we are building in multiple locations globally will focus on building fundamental data model and data services in MFGDM, supporting multi-seat growth for Fusion business, enabling product team using the granulized data to fulfil critical customer workflows, building intelligence/insights from the data, and releasing full values buried in files. The whole effort is an essential part for achieving corporate business strategy. The team will develop, deploy, maintain and support core data model & services. The team need to collaborate with other MFGDM teams cross GEOs. This position will be located in Singapore to further grow local team with other Asian teams.

Responsibilities

• Recruit, coach and develop an effective and highly motivated team to deliver data services solution and/or features to internal consumers and external customers

• Strategically build talents and leadership pipeline in team, build sustainable and healthy team structure to support short term and long-term business growth need

• Acute at detecting potential risks and gaps in projects development and in team development, and guide team to take proactive actions to resolve risks/gaps before they become real problems, save cost and improve team effectiveness

• Strongly drive team to build Customer Trust in the service solutions, including best in class resiliency, performance, scalability, and reliability. Advocate and build engineering excellence and service excellence in our development

• Lead team to support customers and solve customer incidents and issues with sense of urgency. Help team to understand the importance of customer-centricity and build customer empathy

• Collaborate with Product Managers, Product Owners, Software Architects, User Experience Designers and key stakeholders to build viable delivery plan for achieving business objectives

• Coach team to understand corporate vision, the product strategy and what part the team is making impacts to. Help team see the link between their work and corporate/business success and see the path realizing strategies

• Rally team behind the vision, boldly drive team for high quality deliveries while building healthy team atmosphere and work life balance

• Champion teams’ accomplishments and promote teams’ best practices and learnings to adjacent teams and in broader organization

• Find the right approach while facing uncertainties and support teams in navigating changes

• Foster open communication and collaboration cross teams/groups/organizations to achieve common goals. Wear bigger hat and break silos

• Manage team’s performance to ensure successful project completion. Inspire and motivate team members to achieve maximum productivity and optimal creativity. Support each team member in their pursuit of career development paths and opportunities

Minimum Qualifications

• BS/MS in engineering, computer science, or equivalent industry experience

• 12+ years working experience in software industry with 5+ years in leading development teams (managing team members from Junior engineers to Principal engineers, from Developers to QAs)

• Proven experience on leading team to successfully deliver for multiple releases for commercial software or services. Had solid understanding of full software development lifecycle, principles, practices, and methodologies

• Must have fundamentals in technology with Server-side development, preferably JavaScript (NodeJS, lambda, REST API) and AWS services

• Must have experience on working in a scrum team developing cloud services; fully understand services architecture, development, and testing; understand Agile and Scaled Agile. Can work with the team to break down complex technical requirements into logical execution slices

• Have insights about common engineering practice challenges and had experience of leading team to fix/improve them, e.g. automation framework, Feature Flag practice, CI/CD

• Strategic thinking to influence project decisions and develop teams for long term success

• Strong analytical and problem-solving skills. Experienced in using data to detect problems and make data-driven decision

• Demonstrated maturity in handling conflicts within team or cross teams. Hold good balance between being aggressive and being practical

• Comfortable at dealing with ambiguities. Be able to learn fast and grasp necessary key information in short time to build judgement for timely decision making

• Strong interpersonal skills to work with various stakeholders

• Have experiences on developing organization health, building talents, and coaching people

• Proactive communicator who can always communicate risks/concerns/changes/accomplishments to right stakeholders and with impacted teams/people actively

• Great presentation skills. Had experiences to present to senior leadership and to lead group activities

• A multitasker capable of prioritizing and managing time and multiple priorities simultaneously in a fast-paced, time-sensitive, results-oriented environment

• Collaborative, respectful, and thoughtful leader who is interested to work in a diverse and global team. Willingness to collaborate with colleagues across different time zones which may require limited work outside normal working hours

• Willingness to adapt to changing business needs and priorities and acceptance of changing requirements, even late in the development cycle

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineering-Lead%2C-Automation-and-Platforms/33261-en_GB/

We regret that only shortlisted candidates will be notified.

Key Responsibilities

1. Technical Architecture and Solution Design

• Define the technical architecture for AI automation, workflow automation, data integration and platform capabilities across ETP.
• Determine how the data lake, AI inference layer, vector database, workflow automation tools, SaaSplatforms and ETP Hub should connect.
• Translate business requirements and operational pain points into technical solution designs, delivery plansand prioritised build tasks.
• Ensure technical solutions are secure, maintainable, reusable and aligned with ETP’s longer-term digital operating model.

2. AI Engineering Delivery Leadership

• Lead the AI Engineers in delivering AI agents, automation workflows, data pipelines, reporting automation and integration components.
• Review technical outputs including scripts, workflows, data logic, API integrations, AI-assisted tools and deployment approaches.
• Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment.
• Support the use of AI coding tools to accelerate development while ensuring appropriate technical review and quality control.

3. Data, AI and Workflow Automation

• Provide technical oversight for data cleanup, data transformation, reconciliation logic, reporting automation and AI-enabled reporting.
• Guide the development of AI inference-layer capabilities for extraction, classification, validation,summarisation and report generation.
• Lead workflow automation approaches using tools such as n8n and related integration platforms.
• Guide AI-enabled features within ETP Hub, including search, knowledge retrieval, agent workflows and user-facing automation.

4. Platform, SaaS and Infrastructure Integration

• Ensure automation solutions integrate properly with ETP’s platforms, SaaS applications, workflow tools, datasources and infrastructure.
• Work with platform, SaaS and infrastructure workstreams to align technical dependencies, implementation sequencing and support arrangements.
• Assess vendor and professional services proposals for technical soundness, scalability, maintainability and handover readiness.
• Surface risks, constraints and trade-offs early, including security, data access, infrastructure, integration and sustainment considerations.

5. Governance, Documentation and Sustainment

• Establish technical standards for automation workflows, data pipelines, scripts, AI agents, prompts,integrations and reusable components.
• Ensure documentation of architecture, data flows, business rules, workflow logic, prompts, APIs, dependencies and support arrangements.
• Put in place testing, monitoring and issue-resolution processes for deployed automation and AI-enabled tools.
• Drive continuous improvement based on user feedback, adoption, operational performance and changing business needs.

Qualifications

• Degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering or a related technical discipline; equivalent practical experience may be considered.
• Typically 8 or more years of relevant experience in software engineering, AI engineering, data engineering, platform integration or digital solution delivery.
• At least 3 years of experience leading technical delivery, solution architecture, engineering teams or cross-functional automation workstreams.
• Strong hands-on understanding of Python or similar languages, APIs, data pipelines, system integration and deployment practices.
• Practical experience with AI agents, LLM workflows, RAG, embeddings, vector databases, knowledge retrieval or AI inference-layer design.
• Experience with workflow automation tools such as n8n, Airflow, Zapier, Make or similar platforms.
• Ability to guide engineers, review technical work, challenge vendors, make architecture decisions and translate business problems into scalable technical solutions.
• Strong communication and stakeholder management skills, with the ability to explain technical trade-offsclearly to both technical and non-technical stakeholders.

Good to Have

• Experience with AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or similar tools.
• Experience with Google Workspace, Monday.com, Slack, Xero, Workable or similar SaaS applications.
• Experience building internal automation platforms, knowledge search tools, dashboards or operational applications.
• Familiarity with local or cloud-based AI infrastructure, data vectoring, RAG pipelines and knowledge retrieval systems.
• Experience in corporate services, operations, grants, finance, HR, administration or similar internal operating environments.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28MET-Product-Development-Timber-Engineering%29/33264-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture, Department of Civil and Environmental Engineering, and Department of Built Environment are jointly conducting research on harnessing regional tropical timber/bamboo for sustainable and durable mass engineered timber (MET) products for the Tropics. We are looking for one candidate who can contribute in the following areas:

•    Prototyping and Adhesive Testing
•    Timber/Bamboo Grading and lamellar strength determination/classifications guidelines
•    Range of product sizes and configurations and their respective design data/properties for Glulam / CLT / Laminated Bamboo Lumber (LBL)
•    Factory production control and audit practices / requirements
•    Assist in technical studies on the different timber and non-timber /MET products
•    Assist in preparing manuscripts for academic journal articles, filing of patents and/or conference presentations.
•    Assist PI and Co-PIs in general administrative management of the research project.

Duration of Appointment:
Up to 2 years contract, with possibility of renewal.

Gross Monthly Salary Range:
Salary will be commensurate with the candidate’s qualification and experience.

Estimated no. of work hours per week:
42 h/week (Fulltime appointment)

Qualifications

Essential requirements:
- Qualified to Master level or higher degree in MET Product Development / Timber Engineering and/or related discipline.
- At least 2 years’ relevant work experience and good knowledge, skills and expertise in relevant field
- Demonstrated ability to conduct and publish high-quality research
- Strong analytical, writing, and communication skills in English, and able to produce clear reports/recommendations
- Strong project execution skills, including procurement/logistics coordination
- Experience with MET product development (min. 1 year).
- Excellent communication skills with diverse collaborators and specialists.
- Ability to work independently.

Added Advantage:
- Familiarity with Asia-Pacific forestry industries and/or tropical timber/bamboo species and markets
- Basic knowledge of Bahasa Malay, Bahasa Indonesia, Japanese or Chinese for communication with Asian foresters / manufacturers
- Proven experience engaging industry stakeholders to obtain data and information

Application deadline:
15th Jul. 2026 (Till the position filled).

Application
Please consolidate the following documents as one PDF document and email it to the NUS Career Portal. Kindly indicate “Application to Research Associate (MET Product Development / Timber Engineering)” in the email subject title
a)    Cover letter
b)    Curriculum Vitae (CV) including full publication list and last drawn salary
c)    Personal Statement (one page) about research interest, career goals, relevant experience and motivations for applying for this position, and
d)    Names and contact information of 3 references (PhD supervisor or collaborators are allowed)

Appreciate your understandings in advance that only selected qualified applicants will receive responses. Shortlisted candidates may also be asked to submit additional documents for our considerations, if necessary.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Machine-Learning-and-Optimization-in-Chemical-Engineering%29%2C-ChBE/33284-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

•    will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 

•    will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Machine-Learning-and-Optimization-in-Chemical-Engineering%29%2C-ChBE/33281-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

•    will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 

•    will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Offshore-Geotechnical-Engineering%29/33194-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (RF) will be responsible for leading and managing research activities related to the project titled Offshore Geotechnical Engineering. 

Key duties include conducting offshore soil- structure cyclic loading for Coastal Structures and supervising research assistants and ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Qualifications

•    Possess at least a PhD degree in relevant fields include Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communications. 
•    Demonstrated strong research interest, skills, and experience.
•    Proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis tools.
•    Ability to work both independently and collaboratively within a multidisciplinary team.
•    Open to fixed-term contract. 

The Associate SoftwareTesting Engineer will be responsible for the Software Test design andexecution for the applications under test and will closely work with the QAManager, Business/Functional Analyst and Project Manager through the ProjectLife Cycle. The individual should have a strong understanding of Agile andwaterfall models

• Experience in Software Development Life Cycle Process (SDLC) , Software Testing Lifecycle (STLC) ,Test Methodologies and defect life cycle.
• Knowledge and experience in analysing Software Requirement Specification and identifying and creating  the required test scenarios, test cases, test data and document traceability matrix to ensure sufficient test coverage.
• Experience in executing test cases and test plans to support the quality assurance activities throughout the software lifecycle.
• Able to perform defect reporting and verification of the fixes.
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge.
• Experience in testing mobile apps.
• Able to conduct Test Readiness Review (TRR) to ensure readiness of the test phase.
• Experience in API testing using postman.
• Knowledge of SQL and scripting.
• Hands-on experience and expertise with test management tool.
• Development /scripting skills in programming languages which are compatible for Selenium WebDriver such as Java/C#/Python.
• Experience in Automation of Web Applications.
• Good Knowledge in using Version control Management tools such as Bitbucket, GitHub and sound understanding of the code review process.
• experience in manualtesting, with at least 2-3 years focused on Microsoft Dynamics CRM 365
• Strong knowledge of Dynamics CRM functionality, including sales, marketing, service, and custom modules.
• Analyse business requirements and translate theminto detailed test cases for Microsoft Dynamics CRM 365 applications
• Execute test cases manually, including functional, integration, and regression testing for Microsoft Dynamics CRM modules.
• Identify, document, and track defects/issuesfound during testing in defect management tools like Jira, Azure DevOps, etc.

Requirements

• Bachelors Degree in Computer science or related field 
• 5-10 years of Testing experience
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge (good to have)
• Basic knowledge of automated testing tools and scripting is an advantage.
• Experience in testing integrations with other Microsoft technologies

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for the newly formed software engineering team within the Cloud & Third-Party Security team in Singapore, you will be a foundational lead for our new, high-impact software engineering team. You will act as a technical leader to hire and manage software engineers and work cross-functionally with stakeholders across Google to enable achieving our risk reduction goals.

Qualifications

Job responsibilities

• Build and lead a team of software engineers, combining technical leadership and people management to build scalable products that identify and remediate security gaps in Alphabet's usage of public cloud infrastructure, third-party vendors, and SaaS.
• Drive the technical roadmap to support risk reduction goals by addressing ambiguous problems, identifying future work, and ensuring technical excellence and manageable complexity.
• Oversee engineering projects, drive key architectural decisions and influence strategies across partner security and software engineering teams while building strong collaborations.
• Partner with cross-functional roles (e.g., Security Engineers, TPMs) to define requirements and implement systems that enable the rollout of controls to reduce the risk of undermanaged cloud and third-party vendor usage.
• Cultivate a high-performing engineering culture by overseeing staffing, driving professional growth through mentorship, and leading career development and performance management initiatives.
  

Minimum qualifications

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience in a people management or team leadership role.
• Ability to present complex technical concepts to technical and non-technical audiences.
• Strong ability to partner with global stakeholders to align team goals with broader organizational objectives.
• Ability to deliver against product deliverables in ambiguous environments.
• Proven track record of managing an engineering team, with a strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.

Who we are

You enjoy creating and innovating. You never stop striving for better. You take responsibility and you get results. You love being part of a team. Above all, you want your work to matter: Welcome to our world! At Sonova we create sense by bringing sound to life. Our innovative hearing care solutions help millions of people enjoy life’s unforgettable moments.

We offer exceptional career opportunities through market-leading brands from consumer to medical, products and services that keep pushing hearing care forward, and a culture where you can quickly belong and perform at your best.

If you want the freedom to explore, opportunities to grow, and make positive change on people lives through your work, this is the place for you.

Value Engineering Project Director

We are seeking an experienced Value Engineering (VE) Project Director to join our team in Singapore. In this pivotal role, you will lead the optimisation of our medical device products, components, and manufacturing processes by driving structured initiatives that balance cost, quality, and performance.

You will serve as the central hub connecting R&D, Engineering, Procurement, Manufacturing, Quality, and Regulatory Affairs. If you are passionate about solving complex problems through structured engineering methods and delivering measurable cost savings without compromising product safety or regulatory compliance, we would love to hear from you.

More about the role:

• Program Leadership: Own the end-to-end VE pipeline from ideation to implementation, ensuring projects are tracked and deliver measurable savings.

• Cost Analysis: Analyse product BOMs and manufacturing processes using Should-Cost modelling and Design-to-Cost (DTC) principles to identify and quantify financial opportunities.

• Cross-Functional Collaboration: Partner with R&D and Manufacturing to evaluate design alternatives, and work with Regulatory and Quality teams to ensure compliance with ISO 13485, FDA, and CE standards.

• Execution & Change Management: Drive projects through stage-gate processes, overseeing engineering changes, validation plans, and qualifications prior to production release.

More about you:

• Education: Bachelor’s degree in engineering (Mechanical, Electrical, Industrial, etc.). MBA or advanced degree is an advantage.

• Experience: 15 years minimum in value engineering, product cost management, or engineering project management within the medical device or a similarly regulated industry.

• Technical Skills: Proficiency in BOM analysis, cost modelling, DFM/DFA, and lean principles. Working knowledge of ISO 13485 QMS and Design Control (21 CFR Part 820 / MDSAP).

• Tools: Experience with PLM and ERP platforms (e.g., SAP, Windchill) and advanced proficiency in MS Excel.

• Certifications (Preferred): PMP, Lean Six Sigma Green Belt / Black Belt.

Core Competencies

• Analytical Thinking: Structured problem-solving and data-driven decision making.

• Influence & Communication: Ability to align diverse stakeholders and communicate effectively across organizational levels.

• Project Execution: Disciplined delivery of complex, multi-track programmes on time.

• Commercial Acumen: Understanding of P&L impact, margin drivers, and supplier economics.

• Change Leadership: Champions a culture of continuous improvement across teams.

More about what we offer:

As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.

Interested candidates, please submit your updated resume with your current and expected remuneration to Ms Vivi, Talent Acquisition Manager at vivi.dai@sonova.com.

We are regretful that only shortlisted candidate will be contacted.

Sonova is an equal opportunity employer.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the marketplace. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate's ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.

Role Description

The Engineering Delivery Management (EDM) role is focused ontechnical management of all engineering activities.  They provide direction,guidance, expert advice, mentoring, support, audit, and workflowmanagement(tasking prioritization and resource coordination) in support of achievingproject objectives and milestones in accordance with the approvedschedule.  The EDM will manage a multi-skilled team which may includesystem, software, integration, V&V and infrastructure engineers to provideon time delivery of services and support for systems and/or sub-systems ofproducts, or for projects, across multiple platforms.

Responsibilities

Team Leadership & Technical Direction

• Lead a multidisciplinary team of engineers to deliver engineering solutions ensuring team capabilities align with customer expectations.
• Provide direction, expert advice, mentoring, and workflow management, including task prioritization and resource coordination, to achieve project objectives and milestones.
• Provide technical guidance to engineering teams in line with the agreed architecture, ensuring both effectiveness and adherence to customer requirements.
• Provide functional encompassing the Thales Performance Management framework management for reporting delivery roles
• Promote knowledge sharing, ensuring work products are sufficiently documented for reuse across projects.

Project & ProcessManagement

• Oversee the timely delivery of artifacts and releases in line with program milestones.
• Facilitate and lead technical reviews, workshops, peer reviews, and project reviews as required by the program.
• Ensure delivery in accordance with Thales processes and practices, actively contributing to their continuous improvement
• Support discipline managers in defining and tailoring applicable processes, practices, and tools for the project

Stakeholder Engagement & Communication

• Communicate, analyse, plan, and report as necessary to align team capabilities with customer requirements
• Ensure clear and effective communication (both written and verbal) with internal and external customers
• Manage customer scope in line with the approved baseline and schedule
• Manage customer expectations and provide support during requirements analysis, proposing and negotiating mutually beneficial (“win-win”) solutions

Risk, Quality & Reporting

• Identify and assess risks, propose effective solutions, execute mitigation actions, and report on outcomes, cost savings, and residual risks
• Define and maintain metrics to monitor progress, measure performance, identify issues early, and support informed decision-making to ensure successful delivery
• Prepare and lead monthly Technical and Financial Reviews (TFR) sessions and support the Work Package review process

Commercial & Bid Support

• Support bid activities and contribute to the preparation and review of engineering cost estimates for modification proposals to the functional baseline

Knowledge, Skills & Experience

Qualifications

·       Degreein Engineering, Computer Science, IT or other relevant qualification

Essential Experience

·       Solid experience of managing the development of real time distributed complex software centric solutions in a safety critical environment (10+ years)

·       A recognized leader with solid experience in managing multi-skilled global engineering teams and fostering a collaborative and productive work environment

·       Solid knowledge and experience in Systems Engineering lifecycle (eg. EIA632,ISO/IEC15288)

·       Advanced analytical and problem-solving skills, with the ability to engage a wide range of stakeholders across a complex environment

·       Solid experience in upskilling and training new engineers

·       Strong experience using Earned Value Management, Work Package Control and reporting, with exposure to scheduling tools (MS Project, Primavera etc.)

·       Financial/budgetary management of engineering work packages or tasks

·       Strong ability to communicate effectively with various stakeholders, including Project, Engineering Delivery Managers, Product Owners, Technical Design Authorities, Specialty engineers and the engineering team under management.

·       Collaboration tools including Jira, Confluence etc.

Desirable:

·       Air Traffic Management domain expertise (inc. standards such as ICAO, Eurocontrol, AIDC)

·       Experience in product delivery using agile methodologies like Lean methods (including PDCA, Kanban, Value-Stream Mapping).  Prior experience working in an Agile Scale framework is a bonus

General / Special Requirements

GENERAL

·       Assist in ensuring a harmonious work environment in all departments that you are working with by upholding Thales' key values.

·       An advocate for continuous improvement and knowledge sharing

·       An advocate for diversity and inclusion who will be actively involved in implementing change initiatives to achieve our diversity goals

·       An advocate fora culture of continuous improvement

·       An advocate for Accountability, transparency and curiosity

·       Comply with all relevant company Occupational Health, Safety and Environmental policies and framework and work practices with the intent of preventing or minimizing accidental exposures to self, colleagues, visitors and/or the environment and ensure a safe work practices at all times.

·       Comply with all relevant Company policies and procedures.