Total 1,295 job vacancies in Singapore

Job Description:

• In charge of performing quality assurance functions with regard to the product, process and maintain quality management system while ensuring compliance with all customers’ requirements
• Responsible for reviewing and revising quality procedures and quality control instructions
• Liaise with customers / vendors / suppliers on non-conformance activities, perform root cause analysis and determine effective corrective actions to reduce or eliminate the cost of poor quality
• In charge of performing internal audits to evaluate quality system, products, and processes
• In charge of performing vendors’ and on-site audits as required
• Drive down monthly Cost of Poor Quality/ scrap

Requirements:

• Degree in Mechanical / Aeronautical Engineering / other relevant disciplines
• Minimum 5 years of experience in QMS, AS9100, NADCAP

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

Job Description:

• Work as a team to create and implement comprehensive quality assurance plans that outline the processes and procedures for ensuring quality throughout the product lifecycle, from design to manufacturing to delivery.
• Conduct internal and external audits to assess the effectiveness of quality control procedures and identify areas for improvement.
• When quality issues are identified, work to determine the root cause of the problem, develop corrective actions, and monitor their implementation to ensure they are effective.
• Ensure that company's products and services meet relevant industry standards and regulations, including standards like NADCAP.
• Provide training and awareness programs for employees on quality control procedures and best practices.
• Actively participate in continuous improvement projects to enhance quality and reduce costs.
• Collaborate with suppliers to ensure that their products and services meet the required quality standards.

Requirement:

• Min Degree in Engineering
• Min 3 years of experience in certifying staff and lead QA activities

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description:

·      Ensure clinical trial processes and procedures are conducted in accordance with GCP, relevant regulations, guidelines, protocol, and quality management system

·      Conduct quality risk assessment and ensure appropriate mitigation of risks

·      Manage document control of quality management system

·      Review and update SOPs and associated documents

·      Prepare and conduct internal process audits, study specific audits, site audits, vendor audits and relevant audit reports

·      Perform Incident/CAPA lifecycle management including root cause analysis, impact analysis and provide suitable recommendations for improvements

·      Perform computerized system validation where required

·      Assist in the conduct of quality management review meetings

·      Keep up to date with regulatory guidelines and legislations and utilize relevant documents to interpret for guidance

·      Conduct vendor qualification

·      Review of relevant clinical trial documents

·      Management of QMS-related and study-specific training

·      Other duties as assigned by line manager/HOD

Requirements/Skills:

·      Bachelor’s degree or equivalent in basic sciences

·      Experience in pharmaceutical industry with knowledge of EU, US and other relevant international regulatory standards and GxP guidelines for the conduct of clinical trials

·      Experience in clinical/regulatory auditing desirable

·      Effective oral and written communication skill

·      Strong analytical and problem-solving skill

·      Good computer skills, inclined to adapt to technology efficiently

·      Results-oriented, multi-tasking, quick learner

Job description:

• Responsible for the daily operations of the location.
• Ensure the quality of projects, efficiency, financial results and improvements.
• Maximize utilization and create a good balance between capacity and expertise, together with the local managers.
• Create and communicate clear operational rules and guidelines.
• Efficient planning of resources (people and equipment) using local Resource Management.
• Decide upon corrective actions in case of conflicts and/or set priorities where needed.
• Responsible for the overall business planning of the location.
• Responsible for the execution of the global strategy.
• Responsible for the compliance of safety regulations and other regulations on the locations.
• Ensure customer satisfaction.
• Support the BDM responsible for a good customer relationship.
• Maintain adequate technical knowledge and expertise to achieve company-wide competitive offerings in such markets
• Create optimal working atmosphere and safe working conditions within the location and guide the culture.

Requirements:

• Master’s degree in Computer Science, Information Technology or related technical field.
• Minimum 15 years of experience working in IT Security and/or managing security operations and teams.
• Knowledge of quality systems and standards
• Ability to understand laws and regulations as it applies to IT Security & Risk
• Hands-on experience in security systems including IC's, SOC's, payment systems, IoT devices, medical devices and automotive
• Ability to build and maintain relationships, to understand client needs and deliver to meet their expectations.
• Preferred experience insetting up new Security Labs in different countries

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Precision Engineering or relevant
• Min 5 years of experience in Metal Machining industry with experience in QC/ Audit
• Oversea travelling is required

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

JOB RESPONSIBILITIES:

• Review the Associated Part Processing Method (APPM) & Job Instruction Sheet (JIS) and ensure to meet the Engineering Print requirements
• Review the Tolerance Chart and ensure to meet the final requirements of the component upon stock removal.
• Review Inspection Plans, Inspection Gauges, Equipment, Methods & Techniques.
• Prepare & review First Article Inspection (FAI) Report Forms Ballooned E/P as per AS9102.
• Design the gauge, to meet the process requirement.
• Assist in ordering new Gauges.
• Preparing Document of FMEA, Control Plan, and Process Flow Chart.
• Preparing PPAP.

REQUIREMENTS:

• Minimum Diploma holder in Engineering
• Candidate with Quality Background in Precision Engineering
• Able to use all types of standard & specialize gauges (CMM) and good judgment when applying during inspection planning
• Tool and gauge planning
• Good knowledge in GD& T and interpretation
• Able interpret engineering print & the specifications
• Knowledge in gauge designing
• PPAP & FAI documentation
• Exposure to modeling & drafting in NX

Position summary

Act as a technical expert in healthcare quality and regulatory analytics. Combine advanced quantitative analysis, data engineering, and quality system expertise to build stakeholder-specific reporting, develop AI-enabled quality tools, and integrate/manage third-party quality applications to support compliance, continuous improvement, and executive decision-making.

Key responsibilities (primary)

• Perform advanced quantitative data analysis: build statistical and machine learning models for trend detection, root-cause analysis, forecasting, anomaly detection, and risk stratification

• Design, build, and maintain stakeholder-specific dashboards and reports (executive, regulatory) using Power BI tools and data visualization best practices; deliver actionable insights and data storytelling.

• Develop and maintain quality tools and automations using AI/ML/LLM technologies (NLP for document classification/summarization, automated quality checks,

predictive analytics, chat assistants for SOP/QMS guidance).

• Lead integration and lifecycle management of third-party quality software: requirements gathering, vendor coordination, configuration, data integration, testing, release coordination, and ongoing support.

• Utilize current and emerging technologies in evaluating trends to business models and healthcare quality processes

• Develop insights and translate information into actionable initiatives to ensure business outcomes

• Lead and support projects through the application of technical expertise including conceptualization, planning, design, implementation and support of quality assurance processes, systems, and quality technology solutions

• Evaluate and monitor healthcare quality processes and systems to identify areas for continuous improvement and transformation ensuring global excellence

• Initiate and lead the development of reports for key stakeholders, including executive management, using data storytelling and visualization.

• Develop and execute tools to enhance services and deliver training for internal customers or vendors on analytics outputs, tools, and integrated systems.

• Gather and consolidate regulatory and business requirements into convert them into technical specifications and implement monitoring to ensure ongoing compliance with company’s internal policies and relevant regional and local regulations.

• Develop and maintain data validation, models, and metadata; routinely assess model performance and recalibrate as required.

• Lead end-to-end analytics projects: planning, stakeholder alignment, implementation, and post-implementation reviews; document methods and SOPs.

• Support audit readiness and provide analytics-driven evidence for regulatory submissions, inspections, and internal quality reviews.

• Identify opportunities for process improvement and automation in quality workflows, pilot new technologies and scale successful solutions.

Additional responsibilities (as needed)

• Provide subject-matter expertise for cross-functional programs and global initiatives.

• Manage vendor relationships and service-level expectations for third-party tools.

• Participate in career progression and mentoring for junior analysts.

Required skills and experience

• Bachelor's degree in Statistics, Data Science, Biostatistics, Engineering, Computer Science, Information Technology, Healthcare Analytics, or related field (or equivalent experience).

• Strong quantitative and statistical skills; proficiency in data science libraries and tools

• Experience building dashboards and visualizations with tools such as Power BI, Tableau, Looker, or equivalent.

• Hands-on experience integrating and managing third-party quality/GxP systems (MasterControl, Synthesis, ServiceNow) or similar QMS/issue tracking platforms.

• Experience working with cloud platforms, databases (SQL, NoSQL), ETL tools, and APIs.

• Practical experience applying AI/ML and prompt engineering for LLMs to automate quality processes, extract insights from unstructured documents, or create assistant workflows.

• Strong data validation, data modeling, and data governance understanding.

• Excellent communication and data storytelling skills; able to translate technical findings into concise recommendations for executives.

• Experience in a regulated environment (healthcare, life sciences, medical devices, or similar) strongly preferred.

• Demonstrated ability to work cross-functionally and manage vendor/IT relationships.

Preferred

• Certifications in data analytics, machine learning, or quality management.

• Prior experience with global operations or multi-regional regulatory frameworks.

Level expectations and experience guidelines

• 3-4 years relevant experience; independently manages projects and provides expert input, recognized expert, leads complex programs with high autonomy.

Core competencies

• Analytical thinking, accuracy, attention to detail, numerical skills.

• Planning and organizing, project management, stakeholder alignment.

• Statistical knowledge, data modeling, visualization skills, automation

• Vendor and cross-functional collaboration, training and documentation abilities.

Technical requirements

• Proficiency with Microsoft Office and web-based applications.

• Familiarity with automation and orchestration tools; experience deploying AI/ML models into production.

• Language: strong written and spoken English.

Compliance and other

• Ensure ongoing compliance with company processes, regional/local legislation, and external regulations.

• May be required to perform other duties as assigned; role can involve regional and global activities

Working Hours:

Mon to Fri 9am - 6pm ( 1 day hybrid )

Quality Operations Specialists must assist site management to oversee the quality system execution on the manufacturing and production areas at all times. The personnel are required to observe, document, discuss, and report quality adverse events related to the manufacturing of the product and are responsible to ensure highest quality and compliance of released batches. 

Responsibilities:

• Ensure that products manufactured meet approved company policies, processes and procedures

• Provide quality oversight of GMP manufacturing and manufacturing support, including technical operations, engineering, QC laboratory and supply chain activities.

• Review completed incoming material inspection packages, Batch Records, Manufacturing Logs, product changeover/line-clearance activities and administration of Quality Logs, e.g., QA Hold, QA tag out. 

• Release incoming material, process, and product batches.

• Participate in investigations arising out of non-compliance in incoming materials, QC testing, manufacturing processes, warehousing, and product.

• Participate in change management, including change coordinator and/or QA oversight roles to ensure change plan is managed and complies with applicable policies.

• Perform regular walk-through of manufacturing, engineering, warehouse and QC areas as required to ensure compliance is maintained at all times.

• Participate and support new product introduction, operation excellence projects and other tasks as assigned by management

About You:

• Bachelor Degree in a Natural Sciences (i.e. Biology, Chemistry), Engineering, Pharmacy or other relevant courses

• Minimum of 2 years of pharmaceutical, biopharmaceutical experience in Quality and/or Compliance (GxP) environment.

• Prior experience in setting up of electronic batch records is a plus.

• Ability to quickly know products and processes in order to assess quality issues

• Committed to quality and maintain a high standard of work at all times

• Demonstrates the highest levels of integrity and a strong work ethic

• Good knowledge of GxP requirements and regulations

• Good planning and scheduling skills

• Good communication and interpersonal skills both verbal and written

Duration: 6 months contract. (Option to renew/convert based on performance)

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Mechanical / Precision Engineering or relevant
• Min 5 years of experience in Oil & Gas industry with experience in Supplier Quality
• Oversea travelling is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

We are looking for a Software Engineer to support customers and internal teams through software support, secondary modifications, and basic development, covering instrumentation, control systems, and process automation.

This role suits someone with hands-on experience in equipment software, who enjoys working close to hardware, testers, and automation systems, without being a full system architect.

Responsibilities

• Provide software support for customer-installed and internal equipment systems
• Perform secondary software modifications and enhancements to existing applications
• Support debugging, bug fixing, and root cause analysis
• Develop and maintain basic control, test, and automation software
• Interface with test instruments such as SMU, power supplies, lasers, optical switches, etc.
• Support control systems and process automation, including sequence control and interlocks
• Assist in software testing, validation, and release
• Work closely with hardware, engineering, and operations teams
• Provide site or remote customer support when required
• Maintain basic software documentation and change records

Requirements

• Diploma or Degree in Software, Computer, Electrical, or Automation Engineering
• Experience in instrumentation, control, or automation software
• Familiar with rack-based testers and laboratory instruments
• Experience with C# and/or LabVIEW
• Comfortable working with existing codebases and making controlled changes
• Able to troubleshoot software in test, production, or automation environments
• Good communication skills for customer and internal support

Nice to Have

• Experience with process automation or equipment control systems
• Familiarity with GPIB, USB, Ethernet, RS-232 communication
• Exposure to motion control or vision systems
• Experience supporting production or customer-facing equipment

• Well Established Company
• Basic: $4000 to $6000 + AWS + VB (3 to 4 months)
• Working Location: Hougang
• Working Hours: Monday to Friday (8:30am to 5:30pm)
• SCADA, PLC, and Automation System

Job Responsibilities:

• Lead the design, configuration, and integration of SCADA, PLC, and automation systems for various projects.
• Oversee the commissioning, testing, and troubleshooting of control systems and applications.
• Collaborate with cross-functional teams and clients to gather system requirements and provide customized solutions.
• Provide on-site technical support and troubleshooting for system issues.
• Monitor and maintain system performance, ensuring minimal downtime and optimal functionality.
• Assist in project planning, resource allocation, and cost control to meet project deadlines and budgets.
• Ensure compliance with relevant industry standards and protocols in all engineering processes.
• Train and mentor junior engineers and technicians in SCADA/PLC systems.
• Develop and maintain documentation related to system configurations, test plans, and maintenance protocols.

Qualifications:

• Bachelor's Degree in Electrical/Electronics Engineering, Automation, Mechatronics or a related field.
• At least 5 years of experience in SCADA, PLC, and automation systems.
• Proficiency in SCADA protocols, PLC programming, and related control systems.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Basic $4000 to $6000 + Variable Bonus + Allowances
• Excellent Welfare and Benefits + Career progression
• Working location: West / Northeast (Both location available)
• Working hours: 8:30am – 5:30pm (Mon – Fri)
• Automation, Control, PLC Systemw

Job Responsibilities:

• Manage and implement automation projects from start to finish
• Develop software programs for control systems
• Conduct system maintenance, troubleshooting, and user training
• Work in diverse environments including process plant, vessels, and construction sites
• collaborate with cross functional teams to ensure successful project delivery

Requirements:

• Possess Diploma or Bachelor's Degree in Electrical & Electronic Engineering, Mechatronics, or related field
• Familiar with industrial automation system and control instrumentation
• 2 to 3 years of relevant working experience in industrial automation or control systems

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Role Overview:

Responsible for managing camera operations during livestreamperformances, including camera switching, framing, and robotic arm control.

Key Responsibilities:

·      Operate and switch between multiple camera feedsduring livestream

·      Control robotic arm movements

·      Frame performers effectively based onperformance and stage blocking

·      Follow Producer’s direction for camera shots andtransitions

·      Ensure smooth and dynamic camera coverage forlivestream output

·      Assist with camera setup, positioning, andtesting before shows

·      Maintain consistent visual quality throughoutlivestream

Requirements:

·      Experience in live camera operation (broadcast,events, or livestream)

·      Familiarity with camera switching systems andPTZ / robotic arm

·      Good sense of framing, composition, andperformer coverage

·      Ability to react quickly during liveperformances

·      Comfortable working evening / night shifts

Key Responsibilities

• Develop and maintain UI automation scripts using Playwright with Python
• Design and implement API automation test cases using internal frameworks
• Integrate automation solutions using the MCP framework
• Build, enhance, and maintain robust automation regression test suites
• Execute sanity, regression, and end-to-end (E2E) testing cycles
• Identify, log, and track defects, ensuring timely resolution in collaboration with development teams
• Actively participate in Agile ceremonies including sprint planning, retrospectives, and daily stand-ups
• Collaborate with developers and stakeholders to improve test coverage and overall product quality
• Continuously optimize test processes and automation frameworks for efficiency and scalability

Technologies

Playwright (Python), API Automation, MCP Framework, Azure DevOps, JIRA

If you would like to know more about this role, do drop me a message or you can alternatively drop me an email stated below.

latha@dhc.com.sg

By submitting an application or your resume, you are deemed to have consented to Dynamic Human Capital Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice (https://dhc.com.sg/privacy-policy). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

Under the revised Employment Agencies Licence Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g., NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterlyreferral-and-placement/are-employmentagencies-allowed-to-collect-personal-data

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Latha M

Senior Researcher

Dynamic Human Capital Pte Ltd,

2 Kallang Avenue #03-08 CT Hub Singapore 339407

EA License No: 12C6253 |Registration No: R1987570

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 2 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Responsibilities

• Develop and maintain UI automation scripts using Playwright with Python
• Design and implement API automation test cases using internal frameworks
• Integrate automation solutions using the MCP framework
• Build, enhance, and maintain robust automation regression test suites
• Execute sanity, regression, and end-to-end (E2E) testing cycles
• Identify, log, and track defects, ensuring timely resolution in collaboration with development teams
• Actively participate in Agile ceremonies including sprint planning, retrospectives, and daily stand-ups
• Collaborate with developers and stakeholders to improve test coverage and overall product quality
• Continuously optimize test processes and automation frameworks for efficiency and scalability

Technologies

Playwright (Python), API Automation, MCP Framework, Azure DevOps, JIRA

If you would like to know more about this role, do drop me a message or you can alternatively drop me an email stated below.

latha@dhc.com.sg

By submitting an application or your resume, you are deemed to have consented to Dynamic Human Capital Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice (https://dhc.com.sg/privacy-policy). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

Under the revised Employment Agencies Licence Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g., NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterlyreferral-and-placement/are-employmentagencies-allowed-to-collect-personal-data

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Latha M

Senior Researcher

Dynamic Human Capital Pte Ltd,

2 Kallang Avenue #03-08 CT Hub Singapore 339407

EA License No: 12C6253 |Registration No: R1987570

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Precision Engineering or relevant
• Min 5 years of experience in Metal Machining industry with experience in QC/ Audit
• Extensive travelling is required

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 5 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Roles and responsibilities:

1. Arranging orders and assist in kitchen operations

2. Supervise daily stock level 

3. Assistant back of house all duties , such as kitchen cleaning , dishwashing etc

4. handling cooked /uncooked ingredients 

5.Knowledge of the chemical

6.schedule planning

7. Running shift duties 

8.handling feedbacks

9. handling staff roster 

10. need to understand all stations duties 

11.Willing to take charge of few places

12.Willing to work split shifts, weekends, and public holiday.

About the Job

We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and ETL solutions. This role involves working closely with cross-functional teams to ensure data quality, scalability, and alignment with business and technical requirements.

• Design, develop, test, and maintain scalable ETL pipelines to meet business, technical, and user requirements.
• Collect, refine, and integrate new datasets. Maintain comprehensive documentation and data mappings across multiple systems.
• Create optimized and scalable data models that align with organizational data architecture standards and best practices.
• Drive continuous improvement in data quality through optimization, testing, and solution design reviews.
• Ensure all solutions conform to big data architecture guidelines and long-term roadmap.
• Implement robust monitoring, logging, and alerting systems to ensure pipeline reliability and data accuracy.
• Apply best practices in data engineering to design and build reliable data marts within the Hadoop ecosystem for planning, reporting, and analytics.
• Maintain and optimize data pipelines to ensure data accuracy, integrity, and timeliness.
• Manage code in a centralized repository with clear branching strategies and well-documented commit messages.
• Coordinate with stakeholders to ensure smooth production deployment and adherence to data governance policies.
• Proactively identify and implement improvements to data engineering processes and workflows.
• Develop end-to-end solutions for data modeling in the data warehouse, including data acquisition, contextualization, and integration with business processes.
• Ensure adherence to development standards and perform periodic reviews to maintain pipeline performance and sustainability.
• Coordinate and conduct testing with stakeholders to ensure effective deployment of data pipelines and dashboards.
• Serve as the primary data engineering contact at the stakeholder location, ensuring clear communication and alignment on priorities
• Monitor data pipelines continuously and collaborate with stakeholders to troubleshoot and optimize performance.
• Leverage domain knowledge in insurance to design data models and pipelines that support business processes and analytics.
• Work closely with business stakeholders to understand requirements and translate them into scalable data engineering solutions.

We are looking for people who

• Diploma with at least 10 years’ working experience, preferably in Life Insurance
• Proven experience in data engineering, ETL development, and big data technologies
• A strong team player who is meticulous, detail-oriented, and capable of performing under pressure
• Proficiency in tools and platforms such as Hadoop, Spark, Hive, and cloud data services (e.g., AWS, Azure, GCP).
• Possesses strong problem-solving and interpersonal skills.
• Committed, dependable, and adaptable with the flexibility to support during peak periods and tight deadlines
• Demonstrate high integrity, accountability, and a collaborative mindset
• Takes initiative to improve current state of things and embrace change

How you succeed

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.

Who we are

Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei.

The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia.

Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.