1,787 Industrial Engineering jobs in Singapore

Site Engineer (A1 Maincon- Industrial/ Commercial projects)

5.5 days, 8am-5pm, 8am-12pm (Sat)

Salary: $3500- $5000

Location: Site (TBC), office at Jurong East

• Commercial projects experience
• Execute, monitor and ensure the timely completion of the project
• Liaise with the Consultant Representative on project matters.
• Coordinate with all Subcontractors on matters pertaining to site and quality issues;
• Co-ordinate with QAQC Engineer to ensure quality performance of project to meet customer requirements.
• Check for quality of work according to specification and requirement;
• Maintain inspection records of works, materials and all completed works;
• Ensure the site operations comply with the Project Quality Plan, including quality, environmental and occupational health & safety.
• Review project specifications, technical clarification and construction drawings.

• Must have Bachelor Degree in Civil/Structural engineering recognized by PEB or BCA.
• At least 1 year of Industrial/Commercial experience

Interested applicants, WA your resume to or email your resume to

TAN YEN ZHEN (CHEN YANZHEN) REG NO: R

THE SUPREMEHR ADVISORY PTE LTD EA NO: 14C7279

Key Responsibilities:

1. Serve as the main Quality point of contact related to suppliers.
2. Manage External site to contractual obligations relative to Quality Agreement, specifications, quality, safety and regulatory requirements.
3. Review and/or approve as necessary, completed production batch records, deviations, master batch records, change controls, audits/inspections responses.
4. Understand and interpret applicable GMP Regulations pertaining to manufacturing and testing activities at External site.
5. Provide quality oversight of the manufacturing, testing, and release of materials at External site.
6. Author and drive actionable site inspection readiness plans.
7. Author inspection playbooks with External site on key risks/gaps and drive readiness efforts with External site.
8. Representation at product-specific Regulatory Inspections and/or during Notified Body audits of External site, as applicable or required.
9. Identify and mitigate risk at the External site.
10. Monitor and communicate site performances in means of quality metrics through actionable periodic reviews and operating reviews.
11. Escalate risks or roadblocks to management.
12. Drive timely decision making using principles.
13. Drive continuous improvements.

Requirements:

1. Min Diploma / Degree in Chemical Process Technology, Foodscience, Biotechlonogy, Biology, Biomedical Sciences, Science or its equivalents.
2. Min 5 years relevant experience in a related industry preferred.
3. Able to start immediately preferred.

If you are interested in any of the positions, do kindly drop your most updated resume to (Attn: QA/ QO)

Thank You.

Leon Leong De Cong
R
Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

Responsibilities (include but are not limited to):

1. Work with the Manufacturing department as a production area Quality Assurance representative
2. Coordinate and facilitate Quality Assurance related production and production related activities
3. Ensure timely issuance of production records, procedures and labels
4. Ensure timely assessment and closure of discrepancies, Deviations and Change Controls
5. Review batch-related documentation, and ensure resolution of issues to release product
6. Communicate lot disposition pending issues to Management
7. Ensure approval and timely delivery of Final Product
8. Ensure that products are manufactured in compliance with regulatory and GMP guidelines
9. Review and approve Manufacturing and Validation documents for Regulatory and Kite compliance
10. Review and approve Manufacturing Production Records
11. Compile and verify all batch related documents into a Final Product lot disposition package
12. Provide Quality Assurance support resolving material, in-process product, final product, environmental, facility and equipment manufacturing issues
13. Review and disposition disposable raw materials and components for GMP use
14. Review equipment and facility technical and investigation reports
15. Review and approve proposed changes to systems, procedures, methods, and submissions to regulatory agencies
16. Gather metric information for use in continuous improvement of areas of responsibility. Report to management as needed.
17. Perform other duties as required

Requirements:

1. Min Diploma / Degree in Chemical Process Technology, Foodscience, Biotechlonogy, Biology, Biomedical Sciences, Science or its equivalents
2. No Experience Needed, Full training/ on the job guidance will be provided
3. Able to start immediately

If you are interested in any of the positions, do kindly drop your most updated resume to (Attn: QA Specialist- Leon)

Thank You.
Leon Leong De Cong
R
Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

Thales Avionics (AVS) in Singapore consists of manufacturing and repair activities for aircraft OEM and airlines respectively.

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. They oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring.

This role holds a blend of project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations. He/She will be the initiator, influencer and driving the stakeholders to emulate, synchronize and connect to make Thales AVS more sustainable and competitive through innovation and collaboration to achieve industrial excellence.

• Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
• Stakeholder Engagement: Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
• Data Acquisition and Preparation: Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
• Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
• Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.
• Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.
• Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.
• Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.
• Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.
• Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.
• Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI
• Technical Leadership: Drive the design, development, and optimization of scalable data pipelines, APIs, and data platforms to support advanced analytics, AI, and business intelligence use cases.
• Dashboard & Visualization Solutions: Lead the development of enterprise-grade dashboards using Flask (or equivalent frameworks), ensuring usability, performance, and integration with data science models.
• Data for Digital Twin & Simulation: Architect and oversee the creation of data inputs for digital twin environments, enabling predictive simulations and real-time monitoring by integrating structured/unstructured inputs (JSON, XML, APIs).
• AI & Chatbot Integration: Design and implement intelligent assistant solutions, leveraging Retrieval-Augmented Generation (RAG) and related AI techniques to enhance knowledge discovery and automation.
• Data Strategy & Standards: Define best practices for data engineering, quality assurance, monitoring, and governance, ensuring compliance with enterprise and security standards.
• Collaboration & Mentorship: Work closely with cross-functional teams (data scientists, software engineers, product owners) while mentoring junior engineers to raise the team’s technical capability.

• Bachelor's degree in computer science, data science, industrial engineering, or a related field.
• Proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
• Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus
• Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
• Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.
• Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.
• Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.
• Familiarity with data governance, privacy, and security best practices in industrial environments.
• Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus
• Proven track record of dashboarding and visualization (e.g., PowerBI, Flask, Plotly/Dash, or integration with BI tools) for decision-making support.
• Experience with digital twin simulation and real-time data integration, including structured/unstructured formats (JSON, XML) and APIs.
• Exposure to AI-driven solutions, especially chatbot development and Retrieval-Augmented Generation (RAG).
• Excellent communication and stakeholder management skills, with the ability to present complex technical concepts to non-technical audiences.

• Work Location: Changi North Rise
• Working Days: Monday - Friday
• Company transport provided from designated MRT stations.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

Overview

Our client in the FMCG industry is currently hiring for a Quality Assurance Executive.

• Ensure full regulatory compliance for imported frozen and dry food products, including:
• Interpreting updates to Singapore’s Food Act
• Responding to recipe changes from overseas manufacturers
• Creating English-language product labels

• Manage all import preparation tasks, such as:
• Coordinating with suppliers to gather necessary documentation
• Independently drafting and submitting documents for internal approvals

• Enhance internal quality assurance systems by developing and updating SOPs

• Plan and execute marketing and promotional strategies, including:
• Social media content creation
• Designing POSM/POP materials and product brochures
• Coordinating with PR agencies

• Bachelor’s degree in Food Technology, Business, or a related field is required.
• Minimum of 3 years’ experience within the food industry or experience with product registration for overseas regulatory bodies (e.g., food, supplements, pharmaceuticals)
• Familiarity with Singapore’s food regulations, especially for frozen items, meat products, and seasonings

Interested applicant, please click APPLY NOW

Jennifer Maria Hardicar
JAC Recruitment Pte Ltd
EA License Number: 90C3026
EA Personnel: R

#LI-JACSG
#countrysingapore

Purchaser cum Store Assistant

• Working Hours: 8:30 am – 5:30 pm (Monday – Friday)
• Overtime: Based on project urgency
• Salary Range: $1800 -$2800
• Location: Boon Lay

1. Identify and source suppliers for materials, equipment, and services.
2. Request quotations, evaluate offers, and negotiate prices, terms, and delivery schedules.
3. Maintain supplier relationships and update the approved vendor list.
4. Prepare and issue purchase orders in line with company procedures.
5. Ensure timely delivery of goods and services as per project/department needs.
6. Monitor market trends, price fluctuations, and alternative products.
7. Ensure purchases comply with company policies and budget requirements.
8. Track market trends, pricing, and availability of goods.
9. Able to handle and manage ad-hoc purchase activities.

1. Receive, inspect, and record incoming goods.
2. Ensure proper storage, labelling, and handling of goods to avoid damage/loss.
3. Store materials systematically to avoid damage, loss, or expiry.
4. Maintain accurate stock records (manual or system-based).
5. Issue materials to departments/projects based on requisitions.
6. Conduct regular stock checks and prepare inventory reports.
7. Ensure proper housekeeping, labelling, and safety compliance in the store.
8. Manage safety stock levels to avoid shortages or overstocking.
9. Manages and oversees the daily activities of the store to ensure smooth operations within the workshop.

1. Prepare purchasing and inventory reports for management.
2. Coordinate with accounts for invoice verification and payment to suppliers.
3. Highlight and track discrepancies in deliveries or quality issues or short supply.
4. Support internal and external audits with proper documentation (PO, DO, invoices, stock records).

• Knowledge of engineering / electrical parts preferred
• Knowledge of inventory control systems and management.
• Basic accounting awareness.
• Proven experience in purchasing and/or storekeeping.
• Familiarity with inventory management systems.

WhatsApp: (Shermaine)

Siah Sze Ming Reg No: R

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities

• Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
• Stakeholder Engagement: Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
• Data Acquisition and Preparation: Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
• Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
• Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.
• Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.
• Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.
• Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.
• Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.
• Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.
• Business Value Delivery: Define, measure and keep track of business value deliverables linked to the project ROI
• Technical Leadership: Drive the design, development, and optimization of scalable data pipelines, APIs, and data platforms to support advanced analytics, AI, and business intelligence use cases.
• Dashboard & Visualization Solutions: Lead the development of enterprise-grade dashboards using Flask (or equivalent frameworks), ensuring usability, performance, and integration with data science models.
• Data for Digital Twin & Simulation: Architect and oversee the creation of data inputs for digital twin environments, enabling predictive simulations and real-time monitoring by integrating structured/unstructured inputs (JSON, XML, APIs).
• AI & Chatbot Integration: Design and implement intelligent assistant solutions, leveraging Retrieval-Augmented Generation (RAG) and related AI techniques to enhance knowledge discovery and automation.
• Data Strategy & Standards: Define best practices for data engineering, quality assurance, monitoring, and governance, ensuring compliance with enterprise and security standards.
• Collaboration & Mentorship: Work closely with cross-functional teams (data scientists, software engineers, product owners) while mentoring junior engineers to raise the team’s technical capability.

• Bachelor's degree in computer science, data science, industrial engineering, or a related field.
• Proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
• Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus
• Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
• Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.
• Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.
• Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.
• Familiarity with data governance, privacy, and security best practices in industrial environments.
• Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus
• Proven track record of dashboarding and visualization (e.g., PowerBI, Flask, Plotly/Dash, or integration with BI tools) for decision-making support.
• Experience with digital twin simulation and real-time data integration, including structured/unstructured formats (JSON, XML) and APIs.
• Exposure to AI-driven solutions, especially chatbot development and Retrieval-Augmented Generation (RAG).
• Excellent communication and stakeholder management skills, with the ability to present complex technical concepts to non-technical audiences.

• Work Location: Changi North Rise
• Working Days: Monday - Friday
• Company transport provided from designated MRT stations.

Date Posted:

Country: Singapore
Location: 39 Changi North Crescent, Singapore
Position Role Type: Unspecified

We are seeking an experienced and highly skilled Principal Industrial Engineer to lead and drive implementations of Industry 4.0 solutions across Collins Aerospace manufacturing sites. As a senior member of the team, you will take on a leadership role in the implementation of advanced manufacturing technologies, IoT systems, and automation solutions that drive efficiency, quality, and innovation in industrial operations. This position demands deep technical expertise, a strategic mindset, and will serve as a mentor to junior engineers while ensuring the successful delivery of complex projects. You will contribute to continuous improvement and innovation efforts, helping to shape the future of our industrial operations.

• Lead the design and integration of Industry 4.0 technologies into new and existing systems, ensuring seamless integration and performance.
• Lead the design and optimization of complex automation projects, ensuring high levels of efficiency and scalability.
• Lead large scale industrial engineering projects aimed at improving manufacturing/operational processes, increasing efficiency and productivity.
• Conduct comprehensive evaluations of manufacturing/operational sites to identify inefficiencies, performance gaps, and areas for process optimization and improvement.
• Drive discussions with leadership teams to align engineering initiatives with business objectives and operational goals.
• Lead and champion best practices in the development of detailed process documentation and standardization.
• Evaluate and recommend new technologies, tools, and systems to enhance manufacturing and operational capabilities by staying ahead of industry trends and implementing innovative solutions that drive continuous system improvement and performance.
• Ensure compliance with industry standards and best practices in system design, deployment and maintenance.
• Provide technical guidance and mentorship to junior engineers and cross-functional teams.

• Bachelor’s or Master’s degree in Industrial/Mechanical Engineering or related field
• Minimum 10–12 years of experience in industrial engineering, with experience leading large projects from proof of concept through full scale implementation
• Comprehensive knowledge of manufacturing and automation systems, with specialized expertise in control systems (PLC/SCADA) technologies for efficient process monitoring and control
• Proven ability to design and implement advanced automation solutions, including robotics, AOI applications, and integration with predictive maintenance systems
• Strong organizational and project management skills with the ability to manage multiple priorities
• Expertise in system optimization, troubleshooting, and design of experiment (DoE) methodologies
• Basic understanding of network architecture and cybersecurity in industrial environments
• Exceptional problem-solving, critical thinking, and communication skills, with the ability to convey technical concepts to non-technical stakeholders
• Proven leadership skills, with experience mentoring junior engineers or leading a technical team
• Expertise in Lean Manufacturing, Six Sigma and continuous improvement framework will be a plus
• Knowledge in MES, ERP integration will be a plus

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Privacy Policy and Terms: Click on this link to read the Policy and Terms

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Management and Manufacturing
• Industries: Aviation and Aerospace Component Manufacturing

Privacy and employment terms apply to all applicants.

As the Chief Engineer, Advanced Manufacturing Engineering at Eaton India Innovation Center (EIIC) in Magarpatta City, Pune, your role will involve providing leadership on various initiatives in advanced manufacturing engineering. You will collaborate with senior leadership to develop and execute the action plan for the digital manufacturing roadmap, ensuring successful industrialization of Eaton's products through integration with product and manufacturing strategy managers, product engineering, and supply chain management.Your responsibilities will include leading design for manufacturing efforts, developing manufacturing technology roadmaps, and implementing innovative manufacturing solutions at the concept architecture stage of new product development. You will also focus on digitization, automation, manufacturing strategy, and process planning & development to optimize efficiency and productivity.To excel in this role, you should have a Masters degree in manufacturing, industrial, mechanical, or electrical engineering, along with at least 15 years of experience in the electrical/industrial/automotive products manufacturing industry. Your expertise in industrial engineering, manufacturing systems, processes, and tools will be crucial in identifying opportunities for process optimization and implementing cost-effective solutions. Additionally, your proven track record as a technical architect for high complexity industrialization projects and experience in developing technology roadmaps will be valuable assets.Your ability to work with cross-functional teams, handle new product & technology development leveraging stage gate approach, and effectively communicate with diverse stakeholders will be essential. Your strategic agility, drive for results, decision-making skills, and proficiency in conflict management and change management will contribute to your success in this role.If you appreciate different perspectives and cultures, apply market and competition knowledge to advance organizational goals, and have a knack for creating competitive and breakthrough strategies, then this position as the Chief Engineer, Advanced Manufacturing Engineering at Eaton India Innovation Center could be the next step in your career.,