Total 34 Others data entry clerk job vacancies in Manufacturing / Production category in Singapore

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Identify, develop, and deploy AI use cases within AlMg Substrate manufacturing, targeting yield improvement, defect reduction, and equipment downtime minimization across Plate, Wash, and Polish processes.  
• Build predictive and prescriptive models using available internal AI tools on manufacturing process data extracted from MES, ERP, and IoT/sensor sources.  
• Apply statistical analysis techniques including SPC, DOE, Cpk analysis, hypothesis testing, and multivariate analysis to uncover KPIV-KPOV relationships in substrate manufacturing processes.  
• Develop and maintain end-to-end(Substrate-Media-HDD) analytics pipelines - from data extraction and preparation through model training, validation, and production deployment.  
• Create self-serve data dashboards and automated reports using Spotfire to support real-time Cpk, Yield, and SPC monitoring for the manufacturing line.  
• Support AI-driven root cause analysis for quality excursions, reducing manual investigation cycle time.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  
• Collaborate cross-functionally with Process, Quality, Test/FA, and Metrology teams to integrate analytics capabilities into existing engineering workflows.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Market Research

o Conduct market research / environment scan and assess opportunities

o Translate key competitor, consumer and technology trends into sound business decisions

Data Analysis

o Conduct quantitative and qualitative data analysis to identify significant trends

o Utilise statistical tools to project and forecast impact of trends on Epson’s sales and pricing numbers

o Conduct impact analysis to assess ROI of marketing efforts

Customer Intelligence

o Demonstrate strong understanding of consumer needs and behavioural patterns (including end users and channel partners)

o Conduct customer segment analysis to identify appropriate products/services for different segments

Product Planning and Management

o Possess in-depth knowledge of the product specifications

o Define product strategy and develop product road map

o Track and sustain/enhance performance of product

o Manage product life cycle

Pricing Strategy

o Understand, compare and effectively utilise a range of pricing strategies

o Develop and adapt pricing strategy based on internal and external trends

Go-To-Market Strategy

o Formulate appropriate market strategy for product line

o Develop and implement product launch plan and timings

o Maintain oversight of campaign strategy

Product Marketing and Support

o Develop and deliver sales and marketing tools and product documents

o Supply sales with latest research and marketing information

o Track success of sales promotion and marketing campaign for product

New Product Launch

o Fix pricing of new product with related department and Japanese Head Quarter

o Prepare and deliver new product materials such as brochure, web contents and related documents

o Conduct product training to all related department including all SEA sales companies

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

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

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

Location: Woodlands

Working hours: Mon to Fri, 830am to 530pm

The Job:

• Establish standard operating procedures for product engineering and manufacturing processes on the testing floor
• Conduct Failure Mode and Effects Analysis (FMEA) to identify and mitigate potential process failures
• Review and analyze test yield data to identify issues and implement yield improvement actions
• Determine disposition for hold lots based on yield and quality analysis
• Perform device and hardware tester qualification, correlation, and generate associated reports
• Develop and execute Design of Experiments (DOE) to optimize testing and manufacturing processes
• Resolve technical issues related to device testing to support manufacturing operations effectively
• Liaise with customers to understand and implement new production specifications during New Product Introduction (NPI)
• Coordinate device startup and transfer activities to ensure smooth production transitions

The Talent:

• Degree in Electrical & Electronics Engineering with min 1 year of relevant working experience.
• Fresh graduates are welcome.
• Strong team player with good communication skills.
• High level of ambition and a strong desire to learn.
• Singaporeans only.

Next Step:

• Interested applicants, please send your resume to yingchong.koh@adecco.com with your current and expected salary.
• All shortlisted candidates will be contacted.

Koh Ying Chong

EA License No: 91C2918

Personnel Registration Number: R23116418

Our vision is to transform how the world uses information to enrich life for all.  
 
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 

As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT. 

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

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

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

Job Description:
We are looking for a dedicated and disciplined Production Data Entry Assistant (System & Tracker) to support our Production Manager in daily operations. This role is responsible for accurate and timely entry of work orders into production trackers (manual and digital), ensuring real-time visibility of job progress and full traceability across all stages.

In the future, the role will also involve working with the Manufacturing Execution System (MES)once implemented. The data you provide will be critical in helping the Production Manager plan, assign, and monitor tasks across the production team.

Key Responsibilities:

• Perform accurate and timely data entry of daily work orders into production trackers (manual & digital).
• Provide live updates on job status for traceability across different production stages.
• Support the Production Manager with reliable data for daily planning and task allocation.
• Maintain proper records and documentation of all production work orders.
• Liaise with production staff to capture and update live job status.
• Adapt to future system implementation (e.g., MES) to enhance data accuracy and efficiency.

Requirements:

• Strong discipline, accuracy, and commitment to role responsibilities.
• Fast learner with the ability to quickly understand production processes and workflows.
• Organized, firm, and detail-oriented, able to work under pressure in a fast-paced production environment.
• Basic computer literacy (Microsoft Excel, Word, data entry).
• Prior experience in manufacturing/production administration will be an advantage.

Overtime eligible, based on production requirements

Benefits:

• Basic up to $4000

• Mon to Fri, Office hours

• Location: North

• Great company culture and benefits

• Long-term career progression plan

Job Scope:

• Document and standardize factory and production processes and procedures across the Group.

• Identify opportunities for process improvements and implement automation initiatives to enhance efficiency and productivity.

• Support the deployment and implementation of production processes and procedures across Singapore and overseas operations.

• Manage and support the development of next-generation production systems for switchgear manufacturing and assembly.

• Ensure compliance with internal standards through audits of factory operations and process engineering practices across the Group.

• Collaborate with operations teams to drive continuous improvement initiatives in manufacturing processes.

• Perform other duties related to operations and process engineering as assigned.

Job Requirement:

• Diploma or Degree in Electrical Engineering, Mechanical Engineering, or a related discipline.

• At least 1 year of relevant experience in process engineering within a manufacturing environment will be an added advantage

• Entry levels are welcomed, as training will be provided.

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Benefits:

• Basic up to $4000

• Mon to Fri, Office hours

• Location: North

• Great company culture and benefits

• Long-term career progression plan

Job Scope:

• Document and standardize factory and production processes and procedures across the Group.

• Identify opportunities for process improvements and implement automation initiatives to enhance efficiency and productivity.

• Support the deployment and implementation of production processes and procedures across Singapore and overseas operations.

• Manage and support the development of next-generation production systems for switchgear manufacturing and assembly.

• Ensure compliance with internal standards through audits of factory operations and process engineering practices across the Group.

• Collaborate with operations teams to drive continuous improvement initiatives in manufacturing processes.

• Perform other duties related to operations and process engineering as assigned.

Job Requirement:

• Diploma or Degree in Electrical Engineering, Mechanical Engineering, or a related discipline.

• At least 1 year of relevant experience in process engineering within a manufacturing environment will be an added advantage

• Entry levels are welcomed, as training will be provided.

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

This role supports Open Content Product Operations by delivering high-quality analysis, reporting, and performance visibility against clearly defined requirements. You will work with large, varied datasets to produce robust, trusted outputs that inform operational and product decision-making. 

A core focus of the role is working with Open Content data — data spanning multiple sources, formats, markets, and use cases — and applying strong technical skills and data judgement to select appropriate data, ensure quality, and build reliable reporting, primarily using Power BI. 

The role also contributes to improving efficiency by reducing manual reporting and data preparation, through a combination of building automation directly where possible and working with technology or data engineering teams to implement more scalable solutions.

Key Tasks / Responsibilities:

• Deliver analysis, metrics, and reporting against clearly defined output requirements, working closely with Product Operations and Product Management 

• Identify, extract, clean, and structure data from available sources to create accurate, consistent datasets 

• Build, maintain, and enhance Power BI dashboards and reports, including data models, measures, and recurring reporting outputs 

• Create and maintain trusted business metrics and KPIs, ensuring clear definitions, documentation, and transparency around assumptions or limitations 

• Analyse open content data to support coverage measurement, performance tracking, and operational insights 

• Identify manual, repetitive, or inefficient reporting and data processes and drive improvements through automation, including building automation directly and working with data, platform, or engineering teams to raise tickets and support the creation of APIs, feeds, or data pipelines 

• Collaborate with cross‑functional stakeholders (e.g. Product, Operations, Finance, Technology) to gather inputs, align definitions, and ensure reporting accuracy 

• Produce clear supporting documentation and summaries to enable effective understanding and reuse of data and reports 

• Adhere to data governance, privacy, and quality standards 

• 1-year contract, renewable
• Government project
• Hybrid work arrangement

General Requirements

• 4 years of experience in driving impactful digital products in a government environment
• Able to communicate well, with strong conviction in the Government’s mission and good user management skills
• Experienced in running major projects with strong management skills
• Able to think of the big picture while being able to deep-dive into details when required
• Comfortable being hands-on and going onsite (e.g. project sites) if required

Responsibilities

• Drive business outcomes by taking ownership of a product from end-to-end (problem definition to release and continuous improvement)
• Interview stakeholders and users to understand the problem space and define problem statements
• Craft proposals to justify resource allocation and secure funding
• Define success measures and set up dashboards to monitor progress
• Identify hypotheses, develop product strategy, and devise initiatives to drive product outcomes
• Create product roadmap and work with the team to ensure timely achievement of goals
• Work with designers and software engineers to develop, test, and release products
• Measure outcomes and continuously iterate the product to drive improvements
• Engage with and support users to drive product adoption

GIS / Spatial Skillsets

• Familiarity with GIS platforms such as ArcGIS Server and PostGIS
• Own the GIS data product roadmap, prioritizing ingestion and harmonization of geospatial data from multiple divisions, with clear governance and access models
• Translate user needs into requirements for data pipelines, metadata, quality controls, and map-based visualization features; align stakeholders across GIS, data, and UX teams
• Ensure deliverables support planning, analytics, and decision-making

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

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

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

Duration: ASAP - 3 months

Salary: $2300 per month

Location: Pasir Ris (Pickup transport from Pasir Ris, Tampines, Bedok)

Working Hours: 

Shift 1: Monday to Thursday: Work hours: 8pm to 8am

Shift 2: Monday to Thursday: Work hours: 8am to 8pm

Shift 3: Monday to Friday: Work hours: 8am to 5.30pm

Job Scope:

• To conduct quality check of product, boards and panels (ie. 1st Article Check)
• Adhere to Work-Station-Instruction Procedures
• Responsible to fill out proper documentation
• Responsible for maintaining Good Discipline and Housekeeping
• Other ad hoc duties as assigned

Requirements:

• Minimum N/O levels

If interested, please send updated resume via email  biohealth@recruitexpress.com.sg 

Melissa Zhang Zhiqi (Mezzo)

(CEI.No: R2197564 | Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

biohealth@recruitexpress.com.sg