Total 12,644 job vacancies in Singapore

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

Job Description

At Lonza Singapore, you will play a key role in ensuring that our manufacturing facilities, systems, and equipment meet the highest standards of quality and compliance. This is an exciting opportunity to contribute to a GMP biotech environment where your work supports the safe and reliable manufacture of life-changing medicines.

What you will get:

• An agile career with opportunities to grow your validation and engineering expertise.

• An inclusive, ethical, and safety-first workplace.

• A dynamic site environment supporting advanced biotech manufacturing.

• Collaboration with experienced engineering, quality, and operations teams.

• Compensation programs that recognize performance and contribution.

• Fully paid medical insurance, with options to enroll family members at subsidized rates.
  

What you will do:

• Support validation activities for facilities, equipment, utilities, computer systems, cleaning, and sterilization.

• Develop and execute validation protocols and reports in line with approved procedures.

• Collaborate with engineering, quality, and end users to deliver validation activities as planned.

• Support commissioning activities and site change implementations when required.

• Review engineering documentation related to commissioning and validation activities.

• Participate in site validation maintenance programs and inspection readiness activities.

• Uphold data integrity principles and identify opportunities for continuous improvement.

What we are looking for:

• A bachelor’s degree in an engineering discipline or a related field.

• Experience or exposure to validation activities in a GMP manufacturing environment.

• Understanding of regulatory expectations and validation principles.

• Ability to collaborate effectively across engineering, quality, and operations teams.

• Clear written and verbal communication skills.

• A proactive mindset with attention to detail and quality.

• Willingness to learn, adapt, and grow in a regulated biotech environment.

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

Job Summary

We are seeking motivated Application Engineers to develop and deliver application solutions across ABI, SLT, and ATE platforms for our customers, primarily in Asia and the USA. You will work closely with cross-functional teams to define technical requirements, drive project execution, and ensure successful deployment and sustainment of solutions.

Key Responsibilities

• Develop and implement application solutions for ABI, SLT, and ATE platforms 
• Gather and define customer technical requirements, including scoping and quotation support 
• Collaborate with the Engineering and Production Centers to ensure timely and high-quality delivery 
• Manage application board design, development, assembly, and validation 
• Develop, debug, and validate test programs in accordance with customer specifications 
• Lead solution release, customer acceptance, and production roll-out activities 
• Provide sustaining engineering support to ensure long-term performance and reliability 
• Coordinate cross-functional teams and stakeholders to drive successful project delivery

Requirements

• Bachelor’s Degree in Electronics Engineering or a related discipline 
• Minimum 5 years of relevant experience in application engineering, test development, or related field 
• Good understanding of analog and digital electronics, metrology, and semiconductor test processes 
• Experience in project management, including resource planning, budgeting, and reporting 
• Strong communication and interpersonal skills; able to operate effectively in an international environment 
• Fluent in English (spoken and written) 
• Prior experience in Semiconductor industry, ATE, ABI, or SLT environments would be an advantage

Optional:

• Exposure to customer-facing or field application roles 
• Experience working in global or matrix organizations 
• Willingness to travel for customer support and deployment
  

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)

About InterOpera

InterOpera is pioneering intelligence infrastructure to eliminate key enterprise pain points, driving cost efficiency, profitability, and scalable growth. Through our real-time decision-making capabilities, we empower clients to identify challenges, generate actionable insights, implement solutions, and track outcomes to ensure sustained success. Our solutions span sales optimization, risk management, and energy efficiency, helping businesses harness data-driven strategies and seamless automation to enhance operational resilience and long-term value creation.

We're looking for a Senior Software Engineer, AI-Native Enterprise Platform who is passionate about building production-grade AI systems, thrives in a fast-paced startup environment, and wants to shape the future of enterprise decision-making through agentic AI, RAG, and modern software engineering. We’d love to hear from you.

Responsibilities

AI-Native Product Engineering

• Architect and ship production-grade multi-step AI agents with planning, memory, and tool usage capabilities to automate enterprise workflows

• Design, build, and operate Retrieval-Augmented Generation (RAG) pipelines over proprietary enterprise datasets

• Evaluate, deploy, and optimize small/specialized LLMs (sLLMs), including self-hosted deployments for cost efficiency, latency optimization, and data residency requirements

• Develop evaluation frameworks to measure AI performance, including faithfulness, hallucination rates, latency, and instruction-following accuracy

• Integrate frontier AI models such as OpenAI, Anthropic Claude, and Google models while helping define long-term AI architecture strategies

Design & Development

• Build and maintain high-performance backend services using Python and Golang or Java

• Develop modern, responsive enterprise applications using React.js and Next.js

• Own features end-to-end, from architecture and implementation through deployment and production support

• Design scalable distributed systems that are secure, observable, and performant

• Drive cloud deployments using AWS, GCP, or Azure with strong CI/CD, Infrastructure as Code (IaC), monitoring, and operational excellence

Quality & Best Practices

• Write clean, maintainable, and well-tested code with strong focus on performance, scalability, and reliability

• Establish engineering best practices around testing, deployment, observability, and documentation

• Continuously evaluate emerging technologies and AI advancements to improve product capabilities

• Proactively identify opportunities to improve system performance, engineering productivity, and platform resilience
  

Requirements

• 1 year of professional software engineering experience building and operating enterprise-scale software systems

• Proven production experience developing AI agent systems involving multi-step reasoning, planning, memory, and tool usage

• Strong hands-on experience with Python and either Golang or Java

• Production experience with Retrieval-Augmented Generation (RAG), including vector databases, embedding pipelines, hybrid search, and retrieval optimization

• Solid frontend development experience using React.js, Next.js, or equivalent frameworks

• Strong understanding of distributed systems architecture and software scalability

• Hands-on experience building and deploying agentic AI systems using frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent orchestration frameworks

• Experience working with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, or similar technologies

• Experience deploying, fine-tuning, or optimizing open-source LLMs is highly preferred

• Knowledge of AI evaluation methodologies, prompt testing, model benchmarking, and hallucination measurement is a strong advantage

Work Environment

• High-Intensity Environment: Fast-paced startup with demanding workload and potential weekend work when needed

• Flexible Hours: flexibility is required for project deadlines and global team collaboration

• Regional Collaboration: Work closely with colleagues, clients, and partners across Asia
  
  

What We’re Looking For

• Results-Oriented: Technical decision-making ability considering business impact

• Initiative: Self-starter with strong decision-making and execution capabilities

• Adaptability: Flexibility to handle changing priorities and requirements

• Growth Mindset: Commitment to continuous learning and improvement

• Collaboration: Effective communication with diverse, multicultural team members

What We Offer

• Competitive salary commensurate with experience, plus performance-based bonus

• Meaningful equity participation with ownership in the company's future growth

• Direct ownership of an AI-Native enterprise platform powering critical business decisions

• Opportunity to work alongside a senior, ambitious, and high-performing engineering team

• Learning budget for conferences, courses, certifications, books, and professional development

• Modern technology stack and the freedom to make impactful architectural decisions

• Significant visibility and measurable impact on products used by enterprise clients across the region

We are seeking a qualified Electrical Engineer who is proactive to oversee the operation, maintenance and reliability of the electrical systems within our projects. The successful candidate will ensure that all electrical installations, equipment and maintenance activities comply with statutory requirements, safety standards and operational needs

Key Responsibilities

• Manage the maintenance, repair and operation of building electrical systems, including the electrical distribution systems, lighting, emergency power systems and other related equipment
• Plan, supervise and coordinate preventive and corrective maintenance programs.
• Monitor the performance and reliability of electrical systems and recommend improvement initiatives
• Troubleshoot electrical faults and coordinate timely rectification works
• Supervise contractors and service providers to ensure maintenance works are carried out safely and in accordance with specifications
• Ensure compliance with local regulations, electrical codes, and workplace safety requirements
• Prepare maintenance schedules, technical reports, risk assessments and documentation
• Assist in budgeting, cost control, and procurement of tools and materials
• Respond to electrical emergencies and provide technical support when required

Requirements

• At least a Diploma in Electrical Engineering or equivalent
• Minimum 5 years of relevant experience in building maintenance, facilities management or property management.
• Strong knowledge of electrical systems in commercial, industrial or residential buildings.
• Familiarity with preventive maintenance practices and building management systems (BMS)
• Good understanding of electrical safety regulations and statutory requirements
• Experience in supervising maintenance contractors and service providers
• Strong troubleshooting, analytical, and problem-solving skills
• Good communication and interpersonal skills.

Company Overview

The client provides Resident Engineer (RE), Resident Technical Officer (RTO), and Professional Engineer (PE) supervision services, project management consultancy, structural investigations, periodic structural inspections, and facade inspections.

Job Summary

As a Resident Engineer, you will lead site teams to supervise construction, ensuring design accuracy, safety, and compliance with contract specifications. You will drive project success by coordinating contractors, managing contracts, and maintaining high-quality standards throughout the project lifecycle.

Responsibilities

• Lead site supervision for Civil, Structural, and miscellaneous infrastructure works to ensure compliance with design documentation and safety standards
• Direct and support Resident Technical Officers (RTOs) in executing daily site supervision tasks effectively
• Coordinate with contractors to manage work schedules, monitor progress, enforce quality control, and uphold site safety requirements
• Liaise and collaborate with relevant authorities and local communities to facilitate smooth on-site operations
• Administer contracts by evaluating progress payment claims, variations, and extension of time requests to ensure contractual compliance
• Monitor contractor work to verify alignment with approved drawings, specifications, construction methods, and schedules
• Review and assess contractor submissions, including materials, suppliers, and construction methodologies, to maintain project standards
• Coordinate activities among multiple contractors on-site to optimize workflow and minimize conflicts
• Prepare and deliver regular progress reports and feedback to the Consultant, recommending improvements related to safety, supervision, security, construction, and maintenance
• Fulfil duties as the Qualified Person (QP) representative according to Building and Construction Authority (BCA) regulations, reporting to the project QP and Engineers

Required competencies and certifications

• Degree in Civil or Structural Engineering or equivalent accreditation recognized by the Professional Engineers Board (PEB) Singapore
• Registration as a Resident Engineer accredited by the Institution of Engineers Singapore (IES) or the Association of Consulting Engineers Singapore (ACES)
• Registration with IES/ACES and a minimum of 2 years experience supervising civil/structural works
• 3-5 years of site supervision experience as a Resident Engineer, preferably with HDB/LTA project experience
• Thorough knowledge of Building and Construction Authority (BCA) regulations, government contract documents, and BCA reporting requirements
• Proficiency in MS Word, Excel, and Project for project updates and reporting
• Familiarity with local codes and regulations
• Effective communication and interpersonal skills

Preferred competencies and qualifications

• Prior experience working on HDB or LTA projects

Other Information

• Full-time position based in Singapore
• Contract period of up to 24 months

• Lead Operation plans and processes to optimize manufacturing Operations
• Responsible for Plant operations and performance in accordance with production Goals
• Technical Leadership in Production workforce for plant operation, optimization & Troubleshooting
• Coach & Guide for field and console operators reporting to Production Manager
• Cross function collaborations with Maintenance, Project, Reliability Technical- Technology and HSE functions to troubleshoot Petrochemical Manufacturing Site
• Lead the Operating Procedure development and Plant improvement activities
• Lead plant related risk assessment and compliance of Safe operating work practices
• Hire, Train, Develop, Inspire and Coach the Production team
• Lead emergency response, Crisis Management plan
• Provide guidance of shift team during plant troubleshooting, Start-ups/ Shutdowns / Turn arounds
• Responsible for the development, implementation of prestart up planning activities and oversee commissioning & Start- up activities of grassroot facilities
• Capable to identify, develop and implement improvements / changes in the Plant
• Lead Production ideas for improving Profitability, safety, reliability of facilities
• Pursue a relevant bachelor degree in engineering, such as industrial, manufacturing or mechanical engineering.

Design, develop, test, and maintain software applications and systems.

Analyze user requirements and convert them into technical solutions.

Develop high-quality, scalable, and secure software applications.

Perform coding, debugging, and troubleshooting activities.

Participate in software architecture and design discussions.

Conduct unit testing and support system integration testing.

Maintain databases and optimize application performance.

Collaborate with cross-functional teams to ensure successful project delivery.

Support deployment, monitoring, and maintenance activities.

Prepare technical specifications and documentation.

Participate in Agile development processes and sprint planning.

Ensure compliance with software development standards and security requirements.

Continuously improve application functionality and user experience.

Research and implement new technologies to enhance development processes.

• Managing daily activities on the site.
• Attend site meeting, inspection, and monitoring of project progress with Main Con and Sub-cons.
• Ensure safe work procedures are implemented and carried out at all times to control risk.
• Perform structural analysis and design involving the preparation of calculations and structural design drawings in accordance to customers' specifications.
• Handle technical matters such as construction program, shop drawing & other submissions related to project.
• Able to read construction/shop drawings and understand detailing.

• Supervise and manage Civil / Structural projects, work closely with other site operations staff to meet the project schedule.
• Work force planning & designing for demolition and regulation.
• Carry out inspections to ensure that the works meets the quality standard.
• Preparing Risk Assignments.
• Preparing Permit Paper & Daily Toolbox.
• Manpower Management & Maintaining Manpower Report.
• Site planning, coordination, and execution of matters to construction project.
• Liaise with sub-contractors to ensure smooth progression and competition of work.
• Liaise with consultants to carry out inspections and audits.
• Carry out full time supervision of construction works as required under BCA regulations.

Job Requirement

• Bachelor degree in any discipline or equivalent
• 10-12 years Manpower Management Experience.
• Should have experience in 24/7 operations
• Site safety and Knowledge in Risk assessment is advantage
• Should have Knowledge in Demolition

Overview

We are looking for a Full-Stack Engineer with a strong foundation in software engineering and modern AI technologies. The ideal candidate will have experience building scalable applications, integrating LLM-powered solutions, developing AI agents and RAG systems, and working across the full software development lifecycle. Experience with the Pega platform will be highly advantageous.

Responsibilities

• Analyse business needs, identify problem statements, and recommend technology solutions to address organisational objectives.
• Gather, document, and validate functional and technical requirements with stakeholders.
• Collaborate with business users, vendors, and project teams to clarify requirements, review solution designs, and obtain stakeholder buy-in.
• Design, develop, test, and deploy scalable software applications that deliver a high-quality user experience.
• Prepare and maintain architecture diagrams, technical specifications, and system documentation.
• Work closely with Business Analysts to refine requirements, elaborate user stories, and define acceptance criteria.
• Support Quality Assurance activities, including test automation, defect analysis, and bug resolution.
• Partner with DevOps teams to automate build, deployment, and release processes.
• Drive adoption and ensure smooth deployment of new solutions through stakeholder engagement and support.
• Assess enhancement requests, evaluate system impacts, and recommend implementation approaches.
• Investigate and resolve application incidents, perform root cause analysis, and implement preventive measures to minimise recurrence.
• Apply software engineering best practices including code reviews, unit testing, and continuous improvement methodologies.
• Ensure solutions comply with IT governance, security standards, quality management policies, and organisational guidelines.

Requirements

• Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or a related discipline.
• Technical Skills
• Strong proficiency in Python, including backend application development and API design using frameworks such as FastAPI.
• Experience designing AI agent systems with capabilities such as memory, tool usage, planning, and autonomous task execution.
• Familiarity with REST APIs, web services, secure file transfer (sFTP), and system integration patterns.
• Experience with software testing, code quality practices, and automated testing frameworks.
• API integration with platforms such as OpenAI, Anthropic, Gemini, and AWS Bedrock

Solid understanding of Large Language Models (LLMs), including:

• Tokenisation
• Context windows
• Prompt engineering

Hands-on experience building AI-powered applications and agentic workflows using frameworks such as:

• LangChain
• LangGraph
• LlamaIndex

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, including:

• Vector databases (e.g. Pinecone, Weaviate, FAISS)
• Embedding models and retrieval strategies
• Integration with enterprise knowledge sources

Platform & Infrastructure

Experience in one or more of the following areas:

• Agile software development methodologies
• CI/CD pipelines and DevOps practices
• Cloud platforms such as AWS or GCP
• Serverless architectures
• Docker and containerisation technologies

Preferred Experience

• 2–5 years of experience with the Pega platform.
• Experience integrating AI and LLM capabilities into Pega applications and workflows.
• Hands-on participation in at least one end-to-end Pega project implementation.
• Experience delivering medium to large-scale enterprise or government technology projects.
• Consulting, Business Analysis, or solutioning experience.
• Experience facilitating workshops, gathering requirements, and translating them into Agile user stories and acceptance criteria.
• Experience supporting SIT, UAT planning, execution, and stakeholder sign-off.

Key Responsibilities

• Assess contract terms, technical drawings, and equipment specifications to ensure compliance with design requirements.

• Ensure timely delivery of design and engineering production drawings for awarded projects.

• Coordinate with designers, classification societies, vendors, and clients to meet specifications for newbuilding, repair, and conversion projects.

• Interpret design drawings and apply classification rules and maritime regulations in project execution.

• Address technical comments in writing, propose solutions, and prepare drawing remarks for distribution to relevant stakeholders.

• Prepare production drawings based on class-approved or client-issued design documents.

• Develop technical drawings including general arrangements, outfitting plans, lifesaving equipment layouts, structural strength calculations, block construction plans, weight estimates, weight control reports, and lifting arrangements.

• Support commercial newbuilding and repair teams during tender exercises by developing preliminary design concepts aligned with tender requirements.

• Work both independently and collaboratively within a team environment.

Requirements

• Polytechnic Diploma or Bachelor's Degree in Marine Engineering, Naval Architecture, or an equivalent qualification.

• Minimum 3–5 years of engineering experience in structural design within the marine or offshore industries.

• Proficient in Microsoft Word, Excel, PowerPoint, and AutoCAD.

• Willingness to travel overseas for technical meetings as required.

• Ability to interpret marine structural drawings, understand technical specifications, and engage in client discussions.

• Strong analytical, communication, and interpersonal skills.

If you are passionate about playing a key role in the success of a Top notch MNC, we want to hear from you!

Our client is a well-established brand in the Information Technology and Services Domain who is now looking for a passionate and driven Software Developer. This is an amazing opportunity for individuals who want their career in new technology with a global multinational organization.

ABOUT THE ROLE

We are looking for enthusiastic and motivated fresh graduates or junior IT professionals to join our team. This is an excellent opportunity for candidates who are passionate about technology and eager to build a career in Oracle and Talend. No prior experience with Oracle or Talend is required, as comprehensive training will be provided.

ROLES AND RESPONSIBILITIES

• Shortlisted candidates would be sent for 2 months exclusive training in Oracle & Talend.
• On completion of classroom training, selected candidates will be placed on the software/application development team of our ongoing project at our MNC client, where they will receive On-The-Job Training (OJT) on various aspects of Software Development Life Cycle.

REQUIREMENTS

• Fresh graduates or candidates with 0–2 years of IT experience.
• Diploma or Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related discipline.
• Knowledge of at least one programming language (e.g., Java, Python, C#, C++, JavaScript, or similar).
• Basic understanding of SQL or databases is an advantage but not mandatory.
• Strong analytical, problem-solving, and communication skills.
• Eagerness to learn new technologies and work in a collaborative environment.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression

To submit your application, please email your UPDATED CV in Microsoft Word format to saridha@aven-sys.com and keerthana@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name : Saridha Sekar

Reg No. : R1325954

Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

Job Summary

The T&C (Testing & Commissioning) Engineer will lead testing and commissioning activities for large-scale industrial and solid waste management projects, ensuring operational readiness and compliance with project specifications.

Responsibilities

• Lead and execute testing and commissioning activities for large-scale solid waste management projects including Waste to Energy (WTE), sludge incineration, materials recovery, and food waste treatment facilities
• Apply engineering expertise to operate and validate systems in industrial/process/utilities projects such as waste, water, oil & gas, and power sectors
• Collaborate with project teams to ensure testing and commissioning meet technical and safety standards
• Manage schedules and resources to complete testing and commissioning within project timelines
• Troubleshoot and resolve technical issues during commissioning to ensure system functionality and reliability

Required competencies and certifications

• Hold an EICA certification
• Possess at least 5 years of hands-on experience in testing and commissioning of large-scale solid waste management or industrial/process/utilities projects
• Have a relevant engineering degree or certification

Other Information

• Location: Tuas
• Working Days: 5.5 days per week (Mon to Fri: 8.30am to 5.30pm; Sat: 8.30am to 12.30pm, alternate Saturdays)
• Contract Duration: 2 years
• Salary: $10,000 per month
• Benefits: 2 months gratuity upon completion of 2 years
• Availability: Able to commence ASAP
• Shortlisting: Shortlisted candidates will be invited for interview

☑ Good Bonuses

☑ Near MRT

☑ Family Friendly Environment

Job Description:

• Design, implement, and support enterprise network infrastructure.
• Deliver network solutions and infrastructure projects.
• Monitor, troubleshoot, and optimize network performance and security.
• Manage technology lifecycle, documentation, and operational support.

Requirements:

• At least a Diploma with at least 4 years of network engineering experience.
• Strong knowledge of routing, switching, security, and network protocols.
• Hands-on experience with Cisco, Check Point, Palo Alto, and Fortinet technologies.
• CCNP and firewall certifications preferred, with strong troubleshooting skills.

Loh Puay Hwee David

EA License | 24C2215

EA Registration Number | R1766892

Client introduction

Our client is an established fintech headquartered in Singapore, operating across payments and foreign exchange with a footprint spanning Asia and beyond, including a significant client base in Greater China. As the business scales towards its next stage of growth, they are building out the senior layer of their reliability function.

They are hiring a newly created Lead Site Reliability Engineer (Quality Assurance) sits within the SRE team as a key technical hire and co-lead with the Head of SRE.

Job responsibilities

• Own production reliability across the FX and payments platforms - monitoring, observability, alerting, and the definition and tracking of SLIs and SLOs.
• Lead incident response end to end, including war rooms, post-mortems, root-cause analysis and the upkeep of operational runbooks.
• Strengthen quality assurance across the platform - improving test coverage, release sign-off standards, and modernising legacy test automation toward more automated and AI-assisted workflows.
• Support client API integration from sandbox to production, including liquidity provider onboarding and conformance testing.
• Act as the technical escalation bridge between clients, internal users and engineering, supporting China-based clients directly on production and integration issues.
• Lead business continuity and disaster recovery testing, including failover, recovery and audit evidence preparation.
• Contribute to DevOps and tooling improvements across reliability, testing and support.
• Coach and uplift a team of junior SRE and QA engineers, setting standards and mentoring on best practice as the function matures.

Job requirements

• At least 6 years of experience in site reliability, production support, platform engineering or technical operations, ideally within fintech, payments, FX, trading systems or another high-availability environment.
• Strong hands-on troubleshooting across production systems, logs, APIs and application behaviour.
• Hands-on quality assurance exposure - test automation, release support or regression testing - as the role spans both reliability and quality.
• Working knowledge of API integration and comfort in client-facing or client-support situations; sandbox-to-production experience is an advantage.
• Solid fundamentals across cloud and containers (AWS, Docker, Kubernetes), monitoring and observability tooling (Grafana, Prometheus, OpenSearch, CloudWatch), and scripting (Python, Java, Bash).
• People management or team-lead experience is necessary.
• Sound grounding in incident management, RCA and BCP/DR practice.
• Professional spoken and written Mandarin proficiency is required to communicate directly with China-based clients and stakeholders, support production issues, and manage API integration activities.
• Suited to someone hands-on today who wants to grow into a broader leadership role. Candidates requiring relocation to Singapore are welcome to apply. Relocation expenses will not be provided for this position.

Why you should join them

• A newly created, high-visibility role as second-in-command within the reliability function, with a genuine path to grow into a deputy or co-leadership position through succession planning.
• Direct exposure to senior engineering leadership, reporting to the Head of Engineering and working alongside the infrastructure team.
• Broad ownership across reliability, quality, client integration and incident management, with room to shape how these run rather than inherit a fixed playbook.
• A modern technical environment with real appetite for AI-assisted tooling across testing, RCA and support, plus a hybrid working arrangement.

JL
Reg. No. R1766249
BeathChapman Pte Ltd
Licence no. 16S8112

Job Description

• Industry/ Organization Type: MNC Industrial Electrical Technical Solutions Provider
• Position Title: Technical Sales Engineer
• Working Location: Central – Toa Payoh
• Working Hours: 5 days / Monday to Friday: 8.30 am-5.30 pm
• Salary Package: Up to SGD 4500 + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Analyze clients’ technical requirements and recommend tailored solutions
• Craft and deliver engaging technical presentations, product demos, and proposals
• Lead pre-sales activities, including site visits, technical inquiries, and tender submissions
• Collaborate with engineering and product teams to develop customized applications and support
• Provide post-sales technical assistance and conduct training sessions as needed
• Oversee major accounts including international conglomerates, government bodies, and top consulting firms
• Support regional branches in business development and marketing initiatives

APPLY NOW!!!

• Diploma in Electrical/Mechatronics/Electronic/Mechanical Engineering
• Min. 1 year of working experience in related field
• Experience in power systems, UPS, or related sectors is a plus
• Training is provided to inexperience candidate
• Ability to read and interpret technical drawings, specifications, and schematics
• Proficiency in Microsoft Office, AutoCAD, or other relevant engineering software is an advantage
• Willingness to travel for client meetings and site visits

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #77201 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

1. Installation, maintenance and servicing of a wide variety of equipment including but not limited to:

• General security systems
• Alarm systems
• CCTV systems
• Access control systems

2. Troubleshoot problems encountered on site

3. Diagnose and resolve issues related to network connectivity, server performance, and communication between security systems (e.g., CCTV, alarm systems, access control systems).

4. Provide feedback to management on issues faced on the ground

5. Perform routine maintenance and firmware updates on servers, network devices, and security system software to ensure systems remain reliable and up-to-date

Job Requirements

• Candidate must possess at least a NITEC or Diploma in Engineering (Electrical/ Electronic/ Information Technology) or equivalent
• Minimum 2 years’ experience in Operational Technology/ Information Technology industry
• Knowledge of networking and IP/TCP protocol
• In-depth knowledge in CCTV, Access Control and System Server etc.
• Hands-on experience in security-related tasks such as OS tightening, patching and updating, virus scanning will be an added advantage.
• IT Certification in windows system & storage, network, database, virtualization, cloud technologies will be an added advantage
• Good communication skills and positive working attitude.

Benefits

• Annual Wage Supplement (13th month) and Performance Bonus
• Medical and Dental Benefits
• Corporate Insurance coverage
• Annual Pay Increment

Clarice Lim (R1656152) | Anchor Search Group Pte Ltd (17C8528)

Mechanical Design Engineer (Semiconductor Tooling Design)

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

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.

Job Details:

• Salary Range: $5,500 - $6,000
• Working Hours: Monday - Friday (office hours)
• Central Area : Havelock MRT Station
• Yearly Renewable Contract

Hiring AI Specialist to Develop, implement and optimize AI solutions. Strong programming and machine learning skills required.

Key Responsibilities

• Lead the design, development, and deployment of AI and machine learning solutions
• Manage AI platforms, infrastructure, and model lifecycle (development to production)
• Drive end-to-end AI projects, including problem definition, data analysis, model building, and implementation
• Provide technical leadership and guidance to AI/data teams
• Collaborate with cross-functional stakeholders (business, policy, IT) to translate requirements into AI solutions
• Ensure compliance with AI governance, ethics, and cybersecurity standards
• Support adoption of AI best practices within a regulated/government environment
  

Requirements

• Degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or related field
• Strong knowledge in: Machine Learning & Deep LearningData Analytics & Statistical Modelling AI frameworks and tools (e.g., Python, TensorFlow, PyTorch)
• Understanding of AI governance, ethics, and cybersecurity principles

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform -GO Mobile https://sg.persolgo.com/job/apply/16101

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

• Remuneration Package: Up to $5,500 + Fixed Allowances $300 + AWS + Attractive Variable Bonus
• Working Location: Jurong Island (Company Transport Provided)
• Requirements: Instrumentation Experience in Chemical Plant is preferred

Advance Your Engineering Career in a World-Class Petrochemical Manufacturing Environment

Are you passionate about industrial automation, instrumentation, and plant reliability? Join a leading global petrochemical manufacturer operating one of Singapore's advanced manufacturing facilities, where you'll work with cutting-edge process technologies, sophisticated automation systems, and high-performance engineering equipment.

As an Electrical & Instrumentation Engineer, you will play a key role in ensuring the safe, reliable, and efficient operation of critical manufacturing facilities while contributing to continuous improvement and plant optimisation initiatives.

Key Responsibilities

• Lead and coordinate preventive, predictive, and corrective maintenance activities for instrumentation and electrical systems to ensure safe and reliable plant operations.
• Plan, coordinate, and execute major maintenance activities with a strong emphasis on safety, quality, and operational excellence.
• Collaborate closely with production, engineering, contractors, and external stakeholders to minimise downtime and ensure timely completion of maintenance works.
• Conduct instrumentation studies, troubleshoot complex plant issues, and implement system modifications based on operational and business requirements.
• Support plant improvement projects involving instrumentation, automation, and process control systems.
• Provide technical guidance and competency development for technicians and contractors through structured training and coaching.
• Ensure compliance with quality, environmental, and safety management systems, including ISO 9001, ISO 14001, and SS651 standards.
• Participate in emergency response activities and provide timely technical support for critical instrumentation issues.

Requirements

• Degree in Electrical Engineering, Electrical & Electronic Engineering, Instrumentation Engineering, or related disciplines.
• Minimum 3 years of maintenance or engineering experience within the petrochemical, chemical, refinery, power generation, oil & gas, or heavy industrial sectors.
• Hands-on experience maintaining plant instrumentation and process control equipment.
• Exposure to Distributed Control Systems (DCS), Process Gas Chromatographs (PGC), or other industrial automation systems will be an added advantage.
• Familiarity with SAP PM and Microsoft Office applications is advantageous.
• Strong analytical, troubleshooting, communication, and stakeholder management skills with the ability to work effectively in a collaborative environment.

Why Join?

• Competitive remuneration package with AWS and attractive performance bonus
• Stable organisation with long-term career development opportunities
• Work with advanced automation, instrumentation, and process control technologies
• Exposure to large-scale continuous manufacturing operations
• Structured learning environment with opportunities to develop technical and project management capabilities
• Company transport provided for convenient commute to Jurong Island

If you're looking to build your career in a technically advanced manufacturing environment while working alongside experienced engineering professionals, we'd love to hear from you.

Interested candidates can forward their CVs in MS Word format to weiyan@triton-ai.com

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Job Description

• Industry/ Organization Type: Equipment Supplier
• Position Title: Business Development / Sales Engineer (Semiconductor Equipment)
• Working Location: West – Jurong East (Walking distance to the company from MRT)
• Working Hours: 5 days / Monday to Friday, 9am-6pm
• Salary Package: Up to SGD 5000 + Monthly Commission + AWS + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Drive sales of semiconductor equipment to meet and exceed sales targets
• Collaborate with customers to evaluate systems, parts, and materials
• Manage customer inquiries, RFQs, sales proposals, and quotation processes
• Build and maintain strong customer relationships, understanding their needs and delivering tailored solutions to ensure long-term partnerships
• Coordinate with customers and R&D on sales activities, including presentations, quotations, specification confirmations, negotiations, commissioning/acceptance, and post-sales support
• Lead sales negotiations and ensure successful deal closures
• Implement strategies to expand market share for assigned products and services
• Prepare and submit sales reports for internal purposes
• Respond promptly and efficiently to customer queries
• Undertake any additional assignments as directed by management

APPLY NOW!!!

• Min. Diploma in Engineering
• Proficient in Microsoft Office
• Min. 1 year of sales experience, preferably experience in the semiconductor industry
• Training is provided to inexperienced candidate

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76685 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

• Provide presales technical support by designing and recommending suitable technology solutions that address clients’ business and technical requirements.
• Work closely with the sales team to analyze customer needs and propose effective cybersecurity and networking solutions.
• Deliver product presentations and live demonstrations to customers, partners, and internal teams.
• Prepare technical proposals, solution architectures, and compliance matrices for tenders and project bids.

Requirements:

• Diploma in IT or equivalent
• At least 2 years of presales experience within the IT networking and cybersecurity domain.
• Experience with technical presentations, product demonstrations, and proof-of-concept deployments.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Role Overview

We are seeking a Full-Stack Engineer with strong software engineering capabilities and practical experience in AI-powered application development. The successful candidate will be involved in the full software development lifecycle, from requirements gathering and solution design to implementation, testing, deployment, and ongoing support.

This role offers the opportunity to work on modern digital solutions incorporating AI, Large Language Models (LLMs), intelligent automation, and enterprise-grade applications.

Key Responsibilities

Business & Solution Analysis

• Analyse business requirements and identify suitable technology solutions.

• Gather, document, and refine functional and technical requirements.

• Evaluate alternative approaches and recommend optimal solutions.

• Collaborate with stakeholders to clarify requirements and obtain solution acceptance.

• Assess enhancement requests and evaluate their impact on existing systems.

Application Development

• Design, develop, and deliver high-quality software applications.

• Build scalable backend services, APIs, and full-stack solutions.

• Integrate AI and LLM capabilities into business applications and workflows.

• Develop and maintain technical architecture and design documentation.

• Ensure software quality through code reviews, testing, and engineering best practices.

Quality Assurance & DevOps

• Support the development of automated testing and quality assurance processes.

• Troubleshoot defects and implement timely bug fixes.

• Contribute to CI/CD pipelines and deployment automation.

• Collaborate with DevOps teams to improve build, release, and operational processes.

Support & Operations

• Support deployment activities and user adoption of new solutions.

• Investigate system issues and implement effective resolutions.

• Improve system reliability and establish preventive measures to reduce recurring incidents.

• Ensure compliance with organisational IT governance, quality, and security standards.

Requirements

Education

• Diploma or Degree in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or a related discipline.

Technical Skills

• Strong proficiency in Python development.

• Experience building backend APIs using frameworks such as FastAPI.

• Solid understanding of software engineering principles, data structures, and system design.

• Experience integrating with REST APIs and external services.

• Familiarity with software testing, debugging, and performance optimisation.

AI & Large Language Models (LLM)

• Strong understanding of LLM concepts, including:

  • Tokenisation

  • Context windows

  • Prompt engineering

  • API integration with AI platforms

• Experience working with AI platforms such as:

  • OpenAI

  • Anthropic

  • Google Gemini

  • AWS Bedrock

• Hands-on experience building AI-powered applications and workflows.

Agentic AI & RAG

• Experience developing AI agents and autonomous workflows.

• Familiarity with orchestration frameworks such as:

  • LangChain

  • LangGraph

  • LlamaIndex

• Experience implementing Retrieval-Augmented Generation (RAG) solutions.

• Knowledge of vector databases such as:

  • Pinecone

  • Weaviate

  • FAISS

• Understanding of embeddings, semantic search, and external knowledge retrieval techniques.

Enterprise Application Experience (Preferred)

• Experience with enterprise application platforms is advantageous.

• Experience integrating AI capabilities into enterprise workflows will be highly regarded.

• Exposure to at least one complete software development lifecycle project is preferred.

Cloud & Modern Engineering Practices

Experience in one or more of the following areas:

• Agile software development methodologies

• CI/CD pipelines and DevOps practices

• Cloud platforms (AWS, GCP, Azure, or equivalent)

• Serverless architectures

• Docker and container technologies

• Microservices architecture

Additional Preferred Experience

• Business Analysis or consulting experience.

• Experience delivering medium to large-scale enterprise projects.

• Knowledge of:

  • RESTful services

  • Secure file transfer solutions

  • Application security principles

  • System integration patterns

• Experience facilitating requirements workshops and translating requirements into Agile user stories and acceptance criteria.

• Experience supporting SIT, UAT, and production deployment activities.

Personal Attributes

• Self-motivated and able to work independently.

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management skills.

• Strong collaboration and teamwork mindset.

• Effective presentation, facilitation, and listening skills.

• Passion for emerging technologies, AI innovation, and continuous learning.

Why Join Us

• Work on innovative AI and intelligent automation initiatives.

• Gain hands-on experience with LLMs, AI agents, and Retrieval-Augmented Generation (RAG) technologies.

• Contribute to enterprise-scale digital transformation projects.

• Collaborate with multidisciplinary teams in a dynamic and technology-driven environment.

• Opportunity to grow your expertise in cloud-native architectures, modern software engineering, and next-generation AI solutions.