Total 12,767 job vacancies 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-Engineer-%28LLM-for-Construction-Safety%29/32519-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle. 

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns. 

Job Requirements

•    At least a bachelor’s in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.
•    Evidence of strong publication record in top academic journals
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
•    Familiarity working with Large Language Models and building RAG architectures.
•    Familiarity with BIM, IFC and graph databases.
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required
•    Strong written and oral communication skills.
•    Open to fixed-term contract

RESPONSIBILITIES

·       Provide technical and debug assistance included product training.

·       Handle product, technical, warranty, spare parts enquiries and complaints from end-customers, distributors, dealers and e-commerce platform.

·       Study in-warranty claims, compiling of F-Cost report.

·       Monitor quality issues and abnormal defect to make report to factory, take necessary action against warehouse, distributor and factory.

·       Create training materials, technical procedures, service manuals and part guides for distributors.

·       Handle defective unit exchange to end customer, follow up defective unit repair, checking and grading at contractor before return to warehouse.

·       Handle COC renewal, COC and WELS testing and registration for new product.

·       Assist distributor to conduct field test for new products.

·       Support establishment of service management and service centre for local and export market.

REQUIREMENTS

·       Minimum Diploma in Engineering or related discipline

·       Minimum 2 years of experience of experience in consumer electronics after sales management industry.

·       Strong product technical knowledge in home appliances and audio visual.

·       Proficient in MS Office applications.

·       Ability to work under pressure.

Please submit resumes to jason.chow@oaktree.com.sg with the following details in MSWord format:

·      Position applying for

·      Current remuneration

·      Expected remuneration

·      Notice period

Jason Chow Yew Fai

EA License No :       06C4642

EA Reg No :           R25158800

We regret that only shortlisted candidates will be notified.

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

Additional job description

The new Singapore-based team will be dedicated to scaling our operations and risk reduction efforts through advanced automation and remediation. Our mission is to safeguard billions of users by efficiently triaging external security reports and proactively eliminating vulnerabilities across Google's products and infrastructure. We aim to evolve into a self-sustaining, AI-driven operation that provides deep insights into vulnerability trends while fostering a community of security researchers.

Qualifications

Job responsibilities

• Review designs and look for vulnerabilities, both with one-time reviews and long-term engagements. Look for vulnerabilities with techniques including reverse engineering, fuzzing, and static analysis.
• Drive large-scale remediation efforts that eliminate entire vulnerabilities across Google’s products and infrastructure.
• Guide the strategic development of agents and infrastructure to automate vulnerability handling, triage, and conduct variant analysis to reduce manual workloads.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with security assessments or security design reviews or threat modeling.
• 5 years of experience with security engineering, computer and network security and security protocols.
• 5 years of coding experience in one or more general purpose languages.
  

Preferred qualifications

• 1 year of experience in leading technical risk analysis in an enterprise environment.
• Experience building or deploying automated tools (e.g., large language model based agents) for security workflows such as triage automation or bug fixing.
• Experience with cross-functional or cross-product teams.
• Experience consulting on security/security protocols.
• Excellent communication skills.

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking an experienced Software Development Engineer to design and build end-to-end full-stack applications, encompassing intuitive frontend user interfaces and scalable backend services. This role involves developing responsive, user-friendly UI components using modern frameworks such as React or Vue, alongside building robust backend APIs and services (REST/GraphQL) to support application logic and data processing.

You will integrate AI/ML capabilities, including large language model (LLM) APIs and other inference services, into production-ready systems, while architecting efficient data pipelines for ingestion, transformation, and storage to enable AI-driven features. The role requires optimizing performance, scalability, and reliability across the full stack, and working closely with R&D, product, and design teams to translate concepts into functional, user-facing solutions. You will operate in a fast-paced R&D environment, rapidly prototyping and iterating while maintaining high engineering standards, and contributing to architectural decisions and team mentorship.

Key Responsibilities

· Design and develop end-to-end full-stack applications, including frontend interfaces and backend services

· Build responsive, high-performance UIs using modern frameworks (e.g., React, Vue)

· Develop and maintain scalable backend systems and APIs (REST/GraphQL)

· Integrate and operationalize AI/ML capabilities (e.g., LLM APIs, inference services) into production systems

· Architect and implement data pipelines for AI-driven applications

· Ensure performance, scalability, and reliability across frontend and backend systems

· Collaborate with cross-functional teams to deliver user-facing features

· Rapidly prototype and iterate on new ideas in an R&D environment

· Implement state management, caching, and asynchronous workflows for real-time interactions

· Design and manage cloud-based infrastructure (AWS)

· Apply best practices in code quality, testing, CI/CD, and system monitoring

· Monitor, debug, and optimize production systems (logging, observability, performance tuning)

· Ensure security and data privacy in system design

· Mentor junior engineers and contribute to technical leadership

Qualifications

Must-Have Qualifications

· Master’s degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in full-stack software development

· Strong frontend expertise (React, Vue, or similar) and solid backend development skills (Python, Node.js, Java, or equivalent)

· Proven experience designing and building scalable APIs and systems, with strong fundamentals in system architecture and software design

· Hands-on experience integrating AI/ML services (e.g., LLM or inference APIs) into production applications

· Experience with cloud platforms (AWS) and modern development practices (version control, testing, CI/CD)

· Demonstrated experience building scalable summarization/information extraction pipelines and production-grade anomaly detection or predictive models on numerical/time-series data

· Familiarity with Agile/Scrum methodologies and rigorous validation of ML/GenAI systems (evaluation metrics, bias/risk assessment)

· Strong problem-solving skills, ability to work independently, and effective cross-functional communication

· Fluency in English, including technical communication

Strongly Preferred

· Experience building AI-powered applications involving LLMs, generative AI, or real-time inference systems

· Familiarity with ML workflows, model evaluation, and performance optimization

· Experience developing data-rich, interactive UIs (dashboards, visualizations, graphics-heavy applications)

· Hands-on experience with cloud-native architectures and containerization (Docker, Kubernetes)

· Experience with asynchronous processing, streaming systems, or real-time data pipelines

· Background in R&D or fast-paced product environments with rapid prototyping cycles

· Exposure to MLOps practices, monitoring, and observability tools

· Experience mentoring engineers or contributing to technical leadership

· Experience with Model Context Protocol (MCP) for standardized, secure integration between LLM systems and external data sources, tools, or enterprise services.

Full Time

Monday - Friday 9am - 6pm

Salary: $3,000 - $3,500

Job Requirements

• With relevant working experience
• Possess Class 3 Driving license - company vehicle provided

Responsibilities

• Perform installation and maintenance of monitoring instruments for construction sites, ensuring equipment operates reliably and improvements are implemented to support site monitoring needs.
• Install monitoring instruments and perform maintenance tasks to ensure system functionality on construction sites
• Manage and resolve maintenance issues to minimize equipment downtime
• Interpret technical drawings and data to troubleshoot defects and execute repair work accurately
• Conduct routine preventive maintenance to sustain equipment performance and reliability
• Record equipment performance data for assigned monitoring lines to track operational status
• Document diagnoses and details of defective products to support quality control and repair processes
• Identify opportunities for equipment setup improvements and implement corrective actions to enhance system efficiency
• Take initiative to propose and apply continuous improvements in maintenance processes and equipment handling
• Perform site visits outdoors to inspect and maintain monitoring systems

Ho Ming Jie (Edmund) Reg No: R1987094

The Supreme HR Advisory Pte Ltd EA No: 14C7279

We are looking to hire a Project Engineer to be part of our Water team working on exciting Sewer projects across Singapore. Jacobs' role is The Client's Representative for contract supervision works. 

This role will be working with the Project Manager in charge and contract management, carrying out site supervision of contractors’ teams; review Contractor submissions and assess progress claims with QS; manage and work closely with RTOs, STOs, WSHOs, and PROs assigned to the project; and systematically manage and update daily data on all records of the program.

To be a successful candidate you shall possess: 

• Bachelor's Degree in Civil or Environmental Engineering.
• Minimum 5 years of relevant experience in site supervision of civil engineering. Experience in Sewerage or Water Main projects will be an added advantage.

Jacobs complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of age, race, religion, language, nationality, marital status, or family responsibilities. 

#ASIAID #ASIAWater

• Study and evaluate new method and materials to improve current process and manufacturing capability.
• Conduct DOE to determine the key process parameters and product characteristic.
• Assist production in setting up machine operation procedure and safety guidelines.
• Implement new process.
• Explore possibility of reducing material standard usage or cheaper source.
• Determine the root cause for sample rejection for process related issue.
• Adhoc duties as assigned.

Requirements:

• Degree in Mechanical/Electrical/Electronics/Materials Engineering or equivalent.
• Diploma with 2 to 3 years working experience.
• Good trouble shooting and analytical skills.
• Independent, creative, resourceful and able to take pressure.
• Good communication, report writing and presentation skills.
• Williing to commit 12 hours shift work is a plus.

12 hours shift work (Day or Night shift)

Loyang Area

Manufacturing Industry

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd
License No: 06C3745
Attention: Audris Teo / EA Personnel No: R1102063

Continuous Improvement of chemical processes:

• Identify, develop and implement process improvements at one or more production units.
• Benchmarking of the existing processes based on KPIs including recommendations for the optimization of production costs.
• Initiating studies, projects or task forces to investigate and solve technical problems or plant upsets in the production units in interdisciplinary teams and various stakeholders.
• Initiating, planning and implementing field tests or plant trials.
• Know-how exchange with other department and worldwide sister plants.

Project Responsible Role:

• Implementing technical improvements or new processes in new projects in accordance with economical, safety, environmental and Site’s requirements.
• Taking over Project Responsible role or acting as support to the Project Responsible according to organisation’s Technical Standard during planning, construction and start-up of small capital expenditure projects. Including interfacing with all disciplines involved in the projects and with production units.
• Considering environmental issues, job and plant safety and occupational health at an early stage of operational improvements, making sure that the activities follow the policies of the ESHQ guidelines and Responsible Care.

Requirements:

• Bachelor or Master in Chemical Engineering or relevant.
• Min. 3-4 years of experience in Chemical plant and Process Engineering is preferred
• Advanced process and analytic skills to understand complex chemical processes.
• Intensive know-how of chemical unit operations (reaction, filtration, drying…)
• Hands-on attitude to support operations in troubleshooting, plant trials, the technicians in the field and laboratory when working on equipment and process.
• Communication skills to foster know-how exchange within site and with other sites
• Curiosity for digital tools and notions in process controls.
• Basic experience in project management and coordinating the work of others.
• Creativity to develop out-of-the-box solutions

To apply, please visit www.gmprecruit.com

To learn more about this opportunity, please contact Fiona Koh - fiona.koh@gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Fiona Koh| Registration No: R1109239

Responsibilities

• Report to Lead, System and Software Safety
• Develop system safety program plan, hazard analyses and risk assessment documents, safety assessment report and hazard logs based on company process, and/or contracted system safety requirements for projects and/or in-house products'
• Facilitate system safety assessment and analysis with project system safety working groups in identifying the potential hazards and their system safety requirements based on system design and tabulate them in the hazard analysis document
• Facilitate and seek technical endorsement to finalize the system safety requirements with company and customer safety review boards before system design freeze
• Perform Safety Verification and Validation (V&V) to ensure the conformity of the system safety requirements and record the evidence in the hazard log document
• Facilitate and seek endorsement for safety assessment report with company and customer safety review boards
• Submit monthly project system safety status report and updates to Project Manager, System Safety Leads and Department Manager

Requirements

• At least 2 years working experience in software project environment as system, project or engineering support (such as Software QA/ QC) with good understanding in Software Development Lifecycle (SDLC)
• Experience in JIRA tool or any tasks/ issues tracking tool
• Good understanding in MIL-STD-882 and IEEE 12207 standards
• Experience in reading and understanding software design document and white-box test reports
• Good presentation, leadership and communication skills
• Good analytical and problem-solving skills
• Possess strong ability to work within a team

Key Responsibilities:

• Support and understand customer key solutions, workloads, and priorities on Azure, including trend analysis, proactive monitoring, and event planning

• Own project-level Azure issues and drive them toward resolution, ensuring support and engineering readiness for key milestones

• Lead Azure support efforts to quickly mitigate issues impacting critical workloads, providing timely updates in a 24x7x365 global support environment

• Manage a subset of customer support cases end-to-end, delivering an exceptional customer experience

• Produce high-quality Root Cause Analysis (RCA) to prevent recurrence of reported issues

• Advocate and provide product feedback and feature requests to address customer pain points and enhance Azure resiliency

• Continuously develop Azure technical skills and knowledge
  

Requirements:

• Bachelor’s Degree in Computer Science, Technology, Engineering, or equivalent

• Engineer: Minimum 2 years of IT experience supporting and troubleshooting enterprise-level, mission-critical applications, resolving highly complex issues

• Lead: Minimum 5 years of relevant experience

• Excellent written and verbal communication skills

• Customer-oriented with a focus on delivering excellent support experiences

• Open to learning new skills and technologies in a fast-paced environment
  

Technical Skills

• Automation / Programming Languages: Python, C#, PowerShell, Open Source

• Cloud Domains: Core IaaS, Data Platform and Big Data, Azure PaaS Services, Identity and Authentication

• Certifications: AZ-900 or equivalent
  

  Work Location: Tampines
  

  (EA Reg No: 20C0312)

  Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

  Only shortlisted candidates will be notified.

Seeking Technical Engineer with service delivery or customer service experience, and skilled in managing service providers.

RESPONSIBILITIES

·       Provide pre-sales support / consultation, responding to customer support requests and queries ina timely and accurate manner

·       Diagnosing and troubleshooting software and hardware problems, and applying the best solutions to resolve technical issues

·       Providing technical assistance for queries and issues related to computer systems, software, and hardware

·       Creating technical documentation and manuals to assist other team members and users

·       Support on new product certifications and renewals

·       Provide support on company’s Warranty Entitlement and Claim system

REQUIREMENTS

·       Bachelor’s degree in Computer Science, I.T., engineering or equivalent

·       Min. 3-5 years hands on experience.

·       Familiar with Microsoft Office applications.

·       Strong problem-solving and analytical abilities.

·       Proficiency in diagnosing hardware, software, and networking issues.

Please submit resumes to jason.chow@oaktree.com.sg with the following details in MSWord format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Jason Chow Yew Fai

EA License No :       06C4642

EA Reg No :            R25158800

We regret that only shortlisted candidates will be notified.

Key Responsibilities

• Perform installation, commissioning, and servicing of marine propulsion systems, including waterjets, control systems, and associated equipment
• Diagnose and troubleshoot electrical, hydraulic, and mechanical faults in propulsion and control systems
• Conduct preventive and corrective maintenance, ensuring optimal system performance and reliability
• Provide on-site and remote technical support to customers, shipyards, and partners
• Interpret technical drawings, schematics, and system documentation for fault-finding and repairs
• Support system integration, including electrical wiring, control interfaces, and mechanical alignment
• Prepare detailed service reports, documentation, and feedback for continuous improvement
• Ensure compliance with safety standards, company procedures, and marine regulations
• Coordinate with internal engineering teams and external stakeholders to resolve complex technical issues
• Participate in emergency call-outs and travel regionally when required

Requirements

• Diploma or Degree in Electrical Engineering, Mechanical Engineering, Marine Engineering, or a related field
• Minimum 3–5 years of relevant experience in marine, offshore, or heavy equipment service environments
• Strong knowledge of both electrical systems (PLC, control systems, sensors) and mechanical systems (hydraulics, rotating equipment)
• Ability to read and interpret electrical schematics and mechanical drawings
• Hands-on troubleshooting skills and a methodical approach to problem-solving
• Willingness to travel within the Asia-Pacific region and work offshore when required
• Strong communication skills and customer-oriented mindset
• Ability to work independently and under pressure in dynamic environments

Goh JunHong

Recruitment Consultant | Quess Selection & Services, Singapore

EA Licence Number: 23C2060 Registration ID: R1872577

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Key Responsibilities:

• Support and understand customer key solutions, workloads, and priorities on Azure, including trend analysis, proactive monitoring, and event planning

• Own project-level Azure issues and drive them toward resolution, ensuring support and engineering readiness for key milestones

• Lead Azure support efforts to quickly mitigate issues impacting critical workloads, providing timely updates in a 24x7x365 global support environment

• Manage a subset of customer support cases end-to-end, delivering an exceptional customer experience

• Produce high-quality Root Cause Analysis (RCA) to prevent recurrence of reported issues

• Advocate and provide product feedback and feature requests to address customer pain points and enhance Azure resiliency

• Continuously develop Azure technical skills and knowledge
  

Requirements:

• Bachelor’s Degree in Computer Science, Technology, Engineering, or equivalent

• Engineer: Minimum 2 years of IT experience supporting and troubleshooting enterprise-level, mission-critical applications, resolving highly complex issues

• Lead: Minimum 5 years of relevant experience

• Excellent written and verbal communication skills

• Customer-oriented with a focus on delivering excellent support experiences

• Open to learning new skills and technologies in a fast-paced environment
  

Technical Skills

• Automation / Programming Languages: Python, C#, PowerShell, Open Source

• Cloud Domains: Core IaaS, Data Platform and Big Data, Azure PaaS Services, Identity and Authentication

• Certifications: AZ-900 or equivalent
  

  Work Location: Tampines
  

  (EA Reg No: 20C0312)

  Please email a copy of your detailed resume to chally@talentsis.com.sg for immediate processing.

  Only shortlisted candidates will be notified.

☑ Good Bonuses

☑ Near MRT

☑ Family Friendly Environment

Job Description:

• Lead a team of developers to design, develop, and deliver high-quality software solutions aligned with product specifications and project timelines.
• Collaborate with solution architects to design scalable, secure, and maintainable systems using modern architectural patterns such as microservices and event-driven architectures.
• Establish and enforce development standards including coding practices, documentation, version control, testing, and code reviews to ensure high-quality deliverables.
• Act as the primary technical point of contact for stakeholders, supporting project planning, requirement analysis, system integration testing, and issue resolution.

Requirements:

• At least a diploma with 6 years software development experience.
• Strong Java expertise with Spring Framework and REST APIs.
• Experience with web, cloud, and DevOps tools (Angular/React, Docker, Kubernetes, CI/CD).
• Knowledge of microservices and messaging systems (Kafka, MQ, etc.).

To apply, please include the following details inside your CV for faster processing:

• Reasons for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret that only short-listed candidates will be contacted shortly.

Loh Puay Hwee David

EA License | 24C2215

EA Registration Number | R1766892

We are expanding our engineering team with a dedicated MLOps Engineer specializing in AWS to support the deployment, scaling, and operationalization of machine learning solutions across our manufacturing and semiconductor analytics platforms. This role will serve as a critical bridge between our Machine Learning Engineers—focused on Generative AI and classical ML—and production environments, ensuring seamless, reliable, and efficient ML workflows.

You will collaborate closely with the Senior Machine Learning Engineer (GenAI Platform) and the Machine Learning Engineer (Classical ML and Predictive Analytics) to automate pipelines, monitor model performance, and manage infrastructure for high-stakes applications like test plan generation, anomaly detection, predictive maintenance, and market intelligence. In our AWS-centric ecosystem, you will leverage best-in-class tools to enable rapid iteration while maintaining compliance, security, and cost efficiency in regulated industrial settings.

This position is perfect for a mid-level professional with a passion for DevOps in ML contexts, who excels at turning complex models into robust, production-ready systems.

 Key Responsibilities

Design, implement, and maintain end-to-end MLOps pipelines on AWS, including CI/CD automation for model training, validation, deployment, and retraining, using services like SageMaker, CodePipeline, CodeBuild, and Step Functions. 

Support the Generative AI platform by operationalizing AWS Bedrock workflows, including RAG pipelines, vector databases (e.g., via OpenSearch or Pinecone integrations), Lambda functions, and agentic systems—ensuring scalability for large-scale data processing like historical test plans and news article summarization. 

Enable classical ML initiatives by deploying and monitoring models built with XGBoost, Scikit-learn, and NLP architectures (e.g., RNNs/LSTMs) on AWS infrastructure, incorporating drift detection for anomaly tracking in sensor data and competitor pricing monitoring. 

Manage infrastructure as code (IaC) using Terraform or CloudFormation to provision and optimize AWS resources, such as EC2 instances, S3 buckets, EMR for Apache Spark-based processing (supporting our PMA product), and ECS/EKS for containerized deployments. 

Implement comprehensive monitoring, logging, and alerting systems with CloudWatch, X-Ray, and third-party tools (e.g., Prometheus/Grafana integrations) to track model performance, detect anomalies, handle concept drift, and ensure high availability for customer-facing tools like Q&A chatbots and predictive maintenance advisors. 

Collaborate in an Agile environment with ML engineers, data scientists, and SRE teams to conduct A/B testing, version models, automate rollbacks, and optimize costs through auto-scaling and spot instances. 

Enforce security and compliance best practices, including IAM roles, VPC configurations, data encryption, and audit logging, to safeguard sensitive manufacturing data and meet industry standards. 

Troubleshoot production issues, perform root-cause analysis, and drive continuous improvements in ML operations, staying ahead of AWS innovations to enhance platform reliability and efficiency.

Must-have qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field. 
• 3–5 years of experience in MLOps, DevOps, or cloud engineering roles, with a proven track record of deploying and managing ML models in production environments. 
• Deep expertise in AWS services for ML and data workflows, including SageMaker (real-time endpoints, inference components, multi-instance/multi-variant deployments), Bedrock (provisioned throughput, cross-Region inference profiles for scaling & resilience), EMR (for Spark-based PMA workloads), Lambda, S3, ECR, and orchestration tools like Step Functions or Airflow. 
• Proven experience with Amazon Elastic Container Registry (ECR): building, scanning for vulnerabilities, tagging, versioning, and pushing custom Docker images for inference containers (including Bring-Your-Own-Container patterns for custom ML frameworks, vLLM, or deep learning environments); managing ECR lifecycle policies, replication across regions, and secure access via IAM roles. 
• Strong proficiency in EC2-based ML deployments and infrastructure: selecting optimal instance types (e.g., ml.g family for GPU-heavy GenAI inference, g5/g6 for newer accelerators), configuring Auto Scaling Groups, managing spot instances for cost optimization, and handling EC2 fleets for custom hosting when SageMaker/Bedrock abstractions are insufficient. 
• Expertise in load balancing & scaling for ML inference: configuring and troubleshooting Application Load Balancers (ALB) or Network Load Balancers (NLB) integrated with SageMaker endpoints or ECS/EKS tasks; implementing SageMaker's built-in routing strategies (e.g., least outstanding requests for latency optimization); setting up auto-scaling policies (target tracking on CPU utilization, invocations per instance, or custom CloudWatch metrics); using cross-Region inference profiles in Bedrock for burst handling and global resilience; and ensuring high availability through multi-AZ deployments with minimum instance counts ≥2. 
• Demonstrated ability to resolve common deployment issues in production ML environments, including: cold-start latency in serverless/containerized inference, container pull failures from ECR, IAM permission misconfigurations causing access denied errors, model artifact corruption or version mismatches post-deployment, endpoint update failures without downtime (using blue/green or canary strategies), drift/throttling in high-concurrency scenarios (e.g., 429 errors in Bedrock), unhealthy instance recovery, and debugging via CloudWatch Logs, X-Ray traces, and SageMaker Model Monitor alerts. 
• Proficiency in IaC tools such as Terraform or CloudFormation to provision and optimize AWS resources (e.g., ECR repositories, EC2 fleets, ALBs, SageMaker endpoints, and auto-scaling configurations) in a repeatable, auditable manner. 
• Strong scripting and programming skills in Python (with libraries like Boto3), along with experience in CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline — with specific focus on automated ECR image builds, model artifact promotion, and safe endpoint updates. 
• Familiarity with monitoring and observability stacks (e.g., CloudWatch, ELK Stack) and ML-specific tools for versioning (e.g., MLflow) and experiment tracking. 
• Experience in Agile methodologies, with hands-on participation in sprints, code reviews, and cross-functional problem-solving. 
• Solid understanding of ML concepts, including model drift, bias detection, and serving patterns, to effectively support both GenAI and classical ML teams.

Strongly preferred 

• Fluency in English.
• Prior exposure to manufacturing, semiconductor, or industrial IoT domains, where data reliability and low-latency inference are critical. 
• Certifications such as AWS Certified Machine Learning – Specialty, AWS Certified DevOps Engineer, or equivalent. 
• Experience with hybrid ML setups, integrating on-premises data with cloud services, or handling large-scale NLP/Numerical data pipelines. 
• Knowledge of security frameworks like SOC 2 or ISO 27001, and tools for automated testing of ML infrastructure. 
• Prior experience troubleshooting and optimizing SageMaker multi-instance/multi-variant endpoints (including traffic shifting, shadow testing, and A/B deployments) and Bedrock inference profiles (Priority/Flex tiers, cross-Region routing for throughput and cost balancing). 
• Hands-on work with EC2 Auto Scaling in ML contexts, including handling GPU instance availability constraints, spot interruption recovery, and cost-effective scaling for bursty inference workloads. 
• Familiarity with advanced deployment patterns such as blue/green deployments, canary rollouts, and rollback automation to minimize production impact during model updates.

If you are a pragmatic, AWS-savvy engineer excited about operationalizing cutting-edge ML in mission-critical industries, this role offers the opportunity to build resilient systems that directly impact our company's innovation and customer outcomes. Join a dynamic team committed to excellence, with ample room for growth and technical leadership.

• 4-5 years of experience in machinery automation and motion control devices.
• Proficient in WinForms, C#, Windows Programming
• Must know PLC (Siemens/ Keyence/Beckhoff/Omron)
• Open to international travel of up to 20%
• Bilingual in English and Mandarin to support regional clients

Responsibilities:

• Develop software for new automated equipment or enhance existing legacy applications.
• Troubleshoot any issues with systems that are installed.
• Work with clients to create software based on their specific requirements.
• Documentation for codes and programs developed.

Roles & Responsibilities

1. Oversee overall logistic operations

2. Schedule of time in and time out of vehicles daily

3. Ensure that vehicles are timely delivered to customers

4. Welding jobs

5. Producing and manufacturing of Company’s products

6. Ensure that all workshop workers are adhere to safety standards

7. React in time for emergencies; for example non-delivery and accidents, and report to the management immediately

8. Assist in all logistics matters

9. Any other duties as may assign from time to time

Responsibilities

• Design, implement, and manage network security controls (firewalls, IDS/IPS, VPN, NAC)
• Monitor security events, investigate incidents, and perform remediation
• Conduct vulnerability assessments and support penetration testing
• Implement security best practices across LAN, WAN, cloud, and hybrid environments
• Maintain firewall rules, network segmentation, and access controls
• Support compliance with standards such as ISO 27001, SOC, and MAS TRM
• Maintain security documentation and collaborate with infrastructure, cloud, and application teams

Requirements

• Bachelor’s degree in IT, Computer Science, or equivalent experience
• 3–7 years of experience in ICT / network security
• Strong knowledge of TCP/IP, DNS, DHCP, HTTP/S
• Hands‑on experience with firewalls (Palo Alto, Fortinet, Check Point, Cisco)
• Experience with IDS/IPS, VPNs, SIEM, and incident response
• Cloud security exposure (AWS/Azure/GCP) is a plus

Interested applicants, please email your resume to Karin Chan Wei Kien

Email: karinchan@recruitexpress.com.sg

CEI Reg No: R1104584

Recruit Express Pte Ltd

UEN: 199601303W

EA Licence No: 99C4599

Responsibilities:

•           Provide Level 2/3 IT network security operations support

•           Respond to incident calls and ensure the SLA to our clients is met

•           Perform changes to the network in-line with the organization’s ChangeManagement processes

•           Ensure compliance to policies, processes and standards, both internal andclients’ organization

•           Prepare network analysis reports, including findings with analysis

•           Participate in regular operations review meetings, including operationalissues, tickets review etc

•           Participate in projects/activities to support improvement initiatives

•           Conduct proper handover from the project team to operations after commissioningof projects.

•           Conduct internal training and/or knowledge transfer to team.

•           Update operations documentation (technical, CMDB, etc).

Requirements:

•           At least 5 years of experience providing network operational and administrationsupporting Cisco products (Routers / Switches/WLAN)

•           Diploma or Degree in Engineering, IT or its related field.

•           Minimum Cisco CCNP certification

•           In-depth knowledge of network routing and switching technologies and protocols

•           Knowledge of network security, load balancing and optimizationtechnologies 

•           Experience working with Cisco network, Bluecoat Proxy, F5 Load Balancer, PaloAlto/Checkpoint/Fortinet firewall and Splunk is preferred.

•           Ability to work in a multi-cultural team

•           Good communication skills both written and verbal.

•           Ability to prioritise work & multitask

•           Analytical and possess good troubleshooting skills.

•           Willing to work in extended hours and perform standby duty after office hour

We are seeking a Senior Fire Protection Engineer to lead the design, coordination, and delivery of fire protection systems for building and infrastructure projects. The role involves ensuring full compliance with local regulatory requirements while supporting project execution from design through to commissioning.

Key Responsibilities

Design & Engineering

• Lead the design and integration of fire protection systems, including sprinklers, hydrants, hose reels, risers, gas suppression, and smoke control systems
• Prepare engineering calculations, hydraulic analysis, schematics, and technical drawings in compliance with applicable standards and codes
• Coordinate fire protection systems with ACMV, electrical, plumbing, and structural disciplines

Regulatory Compliance

• Ensure all designs and installations comply with relevant regulations and codes (e.g. SCDF requirements, Fire Safety Act, BCA standards, SS and NFPA codes)
• Prepare and support submissions for fire safety plans, calculations, and regulatory approvals
• Liaise with relevant authorities, consultants, and stakeholders to obtain necessary approvals and clearances

Project Management

• Oversee fire protection works from design stage through to installation, testing, and commissioning
• Review shop drawings, material submissions, and method statements from contractors and vendors
• Support risk assessments, resolve site issues, and ensure timely project delivery within scope and budget

Testing & Commissioning

• Lead inspection, testing, and commissioning of fire protection systems, including interface with ACMV systems
• Ensure proper documentation, system handover, and compliance with certification requirements

Leadership & Mentorship

• Provide technical guidance and support to junior engineers and drafting personnel
• Share knowledge on fire safety codes, compliance requirements, and industry best practices

Requirements

• Min Degree in Mechanical Engineering, Fire Safety Engineering, or related discipline
• Min 5–8 years of relevant experience in fire protection engineering within the construction or M&E industry
• Experience in building or infrastructure projects is preferred
• Experience in local fire safety regulations and authority submission processes is preferred
• Professional Engineer (PE) certification is an advantage

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

• Perform first article evaluation (FAE/FAI) and on new parts/products that are newly manufactured.
• Conduct shipping judgement meeting for first-time manufactured and shipped-out products.
• Handle quality claims from customers through corrective action request (CAR/NCR): evaluate, verify and disseminate information to respective departments.
• Manage claims to ensure root causes are analyzed and effective corrective/preventive action are being taken.
• Ensure prompt follow-up and replies on claims.
• Revise department‘s work standard according to job-flow changes.
• Conducts process audits according to schedule.
• Assist production lines on solving quality matters; discuss and feedback on any improvement.
• Provide engineering support and advice to other members.
• Coordinate monthly quality meeting.
• Supervise subordinate.
• Adhoc job duties as assigned.

Requirements:

• Degree in Mechanical/Mechatronics Engineering
• Prefer 2-3 years of relevant experience
• Entry level applicants with the correct aptitude will also be considered.

Bedok, East Area
Manufacturing Industry
5 days work week

Interested candidates, please send a detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd
License No: 06C3745
Attention: Audris Teo / EA Personnel No: R1102063

• To analyse user requirements and design, develop, implement and maintain computer applications to support and assist users to meet their business objectives more effectively and efficiently.
• Develop, support and enhance the Data Download Centre (including Engineering Portal) and iSCM websites.
• Develop, support and enhance Excel productivity enhancement tools (VBA macros).
• Support end-users in usage of Plasma and ACCPAC and help to resolve any operational issues, including working together with vendor (Databit) if necessary.
• Develop and enhance data extraction and transformation mechanisms on source systems (e.g. Plasma, YEOS, NYQT, Oracle BI, SAP RFC, PTS etc.) and store the results into Plasma Info Server Monitor the space consumption of Plasma Info so that Server database so that potential problems (e.g. disproportionate consumption of disk space by a particular table, depletion of data tablespace, excessive consumption of temp tablespace) are detected and resolved early to avoid unscheduled database downtime.
• Perform ad-hoc retrieval of order/production/sales data to support incident investigation, reporting or other requests.
• Support Migration Activities of Existing Plasma Info Server to SAP.
• Support & ensure successful implementation of Company-wide Automation (ERP) Projects.

Requirements:

• Degree in Info Systems/Computer Science or its equivalent
• Prefer 2-3 years relevant experience in Manufacturing Industry.
• Entry level are welcome to appy as training will be provided.
• Entry level candidates with strong programming knowledge are welcome to apply as training will be provided.
• Required travelling to Batam Factory and staying for project is necessary (Min. 2weeks to max 2months stay per visit depending on project requirement)

Knowledge:

SQL; Oracle PL/SQL; MS SQL Server Transact-SQL

Object-oriented analysis and design

ASP.NET 4.5.1; C/C++/C#; XML

JavaScript; JQuery; CSS; HTML

Excel VBA; VBScript; PowerShell

PHP, VS.Net, MS Office

Interested Applicants, kindly email your detailed resume to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Attention: Audris Teo / EA Personnel No: R1102063

About the Role:
Responsibility for selling and supporting instrumentation solutions across process industries, including oil & gas, chemicals, pharmaceuticals, water treatment, and manufacturing.

Key Responsibilities

• Develop strategies to achieving sales target and increased market shares

• Conduct customer visits, sales pitches, and product presentations

• Ensure sales visibility through adoption of CRM, project pursuit list, weekly sales reporting

• Align and link business strategies set by company

• Achieve revenue and profit targets with build and maintain customer relationships

• Provide pre- and post-sales support with internal teams

• Prepare quotations (ERPLN) and manage follow-ups

• Track quotation status, forecasts, and ensure clean order processing

• Conduct market analysis and report insights

• Ensure ISO-compliant documentation

• Support ad-hoc projects and stay updated on industry trends

Requirements

• Diploma/Degree in Engineering (Mechanical, Electrical/Electronic, Chemical, etc.)

• 3–5 years’ experience in industrial sales (instrumentation, valves, automation, or similar)

• Experience in MNC/matrix environments with relevant industry

• Strong closing and negotiation ability

• Industry network and project experience are advantages

• Familiar with CRM, ERPLN, and Microsoft Office
  

  If interested, please submit your application to cvs@jdawms.com with your expected salary and resume.

  We regret that only short-listed candidates will be contacted shortly. By submitting your application or resume, you agree to the collection, use, retention, and sharing of your personal information with potential employers for their assessment.

  JDA WMS Pte Ltd | EA Personnel: Pham Thi Tuyet Mai 

  EA License No: 23S1595 | EA Registration No:

  R25127838

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-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

About the Role

We are looking for a Microsoft Identity Services Engineer / Lead to manage and maintain identity and access management solutions. This role involves supporting daily operations, monitoring service performance, managing accounts and subscriptions, and ensuring security compliance.

Key Responsibilities

• Provide support for tickets related to Microsoft Identity services

• Manage daily operations using runbooks provided by the IDNA (Identity & Network Access) team

• Handle tenant provisioning, account, and subscription management

• Monitor services to ensure stability, performance, and security

• Manage incidents and follow prescribed security and compliance processes, including certificate rotation

• Escalate unresolved issues to Microsoft or relevant teams

• Maintain documentation and collaborate with team members for process improvements

Requirements

• Bachelor’s Degree in Computer Science or related technical field

• Engineer: At least 2 years of technical engineering experience with coding

• Lead/Specialist: At least 5 years of technical engineering experience with coding

• Strong problem-solving, communication, and analytical skills

• Self-driven, able to work independently, and think strategically

• Quick learner, adaptable to new technologies and industry trends

• Experience building or maintaining highly scalable services

Technical Skills

Programming languages: C, C++, C#, Java, JavaScript, or Python

Cloud platforms: Azure, AWS

Knowledge of open-source tools or frameworks is an advantage

Your recruiter for this job: