103 Machine Operation jobs in Malaysia

Machine Operation Supervisor

Chin Lai Hardware Sdn Bhd

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Job Description

Job Responsibility

  • Oversee and ensure the efficient operation of metal roll-forming machinery to maintain optimal production output.
  • Assemble aluminum components with precision and attention to detail, meeting quality standards.
  • Lead and manage a team of manual laborers, fostering teamwork and ensuring tasks are completed efficiently.
  • Collaborate effectively with team members, demonstrating strong organizational skills and a commitment to achieving shared goals.

Job Requirements

  • Good communication skills in English, Mandarin and Bahasa Malaysia.
  • Diploma or higher in Mechanical Engineering, Manufacturing, or a related field.
  • Minimum 3 years of experience in Machine Operation or Production Supervision.
  • Strong Technical Knowledge of Manufacturing Processes and Machinery.
  • Proven ability to Troubleshoot and Resolve Mechanical or Operational Issues.
  • Excellent Leadership and Team Management Skills.
  • Ability to Read and Interpret Technical Drawings and Specifications.
  • Proficiency in Microsoft Office applications for reporting and scheduling.
  • Strong Attention to Detail, Organizational Skills, and the Ability to Prioritize Tasks.
  • Knowledge of Workplace Safety and Health Regulations is an added advantage.
  • Candidates must have skills and knowledge in Communication, Problem-solving and Attention to Detail

Job Benefits

  • EPF / SOCSO.
  • Annual Leave.
  • Medical Leave.
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Machine Learning Operation Engineer (MLOps Engineer)

Kuala Lumpur, Kuala Lumpur Always Marketing Malaysia Sdn Bhd

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Job Description

Duties and Responsibilities:

  • Provides deep technical expertisein the aspects of cloud infrastructuredesign and APIdevelopment for the business environments.
  • Bridgesthe gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML - powered solutions
  • Ensures solutions are well designedwith maintainability/ease of integration and testing across multipleplatforms.
  • Possess strong proficiency in development and testing practices common to the industry
Summary of Principal Job Responsibility & Specific Job Duties and Responsibilities:
  • Working closely with data scientists, ML engineers, and other stakeholders to deploy ML models
  • Setting up and maintaining cloud and edge infrastructure for MIL models deployment
  • Design, implement and maintain scalable infrastructure for ML workloads
  • Good verbal and written communication skills
  • Collaborative and oriented
Academic Qualification (s):
Bachelor's degree in computer science, Engineering or related subject and/or equivalent formal training or work experience

Work Experience / Skills Requirement(s):
1. Cloud Infrastructure & Kubernetes
  • Minimum 2 years of hands-on experience managing cloud infrastructure (e.g. AWS,GCP,Azure) in a production environment
  • Hands-on experience with Kubernetes for container orchestration, scaling and deployment of ML services
  • Familiar with Helm charts, ConfigMaps, Secret and autoscaling strategies
2. API Development & Messaging Integration
  • Proficient in building and maintaining RESTful or gRPC APIs for ML inference and data services
  • Experience in message queue integration such as RabbitMQ or ZeroMQ for asyncronous communication, job queuing or real-time model inference pipelines
3. System Design, Database & Software Architecture
  • Proven experience working with relational databases (RDBMS) such as Microsoft SQL Server and PostgreSQL.
  • Proficient in schema design, writing complex queries, stored procedures, indexing strategies, and query optimization.
  • Hands-on experience with vector search and embedding-based retrieval systems.
  • Practical knowledge using FAISS, LanceDB, or Qdrant for building similarity search or semantic search pipelines.
  • Understanding of vector indexing strategies (e.g., HNSW, IVF), embedding dimensionality management, and integration with model inference pipelines.
4. Programming Languages
  • Demonstrated expertise in building scalable and maintainable API services using Python frameworks such as Flask, FastAPI, or Litestar.
  • Fluent in HTML, CSS, and JavaScript for building simple web-based dashboards and monitoring interfaces.
  • Experience with Go, C++, or Rust is a strong plus, especially for performance-critical or low-latency inference applications.
5. Edge AI Deployment
  • Experience in integrating models using NCNN, MNN, or ONNX Runtime Mobile on mobile and edge devices.
  • Familiarity with quantization, model optimization, and mobile inference profiling tools.
6. MLOps & Tooling
  • Experience with Docker/Podman, CI/CD pipelines, Git, and ML lifecycle tools such as MLflow, Airflow, or Kubeflow.
  • Exposure to model versioning, A/B testing, and automated re-training workflows.
7. Monitoring & Logging
  • Ability to set up monitoring (e.g., Prometheus, Grafana) and logging (e.g., ELK stack, Loki) to track model performance and system health.
8. Soft Skills & Collaboration
  • Strong analytical and troubleshooting skills.
  • Able to work closely with data scientists, backend engineers, and DevOps to deploy and maintain reliable ML systems.
  • Excellent communication and documentation habits.
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Machine Learning Operation Engineer (MLOps Engineer)

Kuala Lumpur, Kuala Lumpur Always Marketing Malaysia Sdn Bhd

Posted 4 days ago

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Job Description

Duties and Responsibilities:

Provides deep technical expertisein the aspects of cloud infrastructuredesign and APIdevelopment for the business environments. Bridgesthe gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML - powered solutions Ensures solutions are well designedwith maintainability/ease of integration and testing across multipleplatforms. Possess strong proficiency in development and testing practices common to the industry Summary of Principal Job Responsibility & Specific Job Duties and Responsibilities:

Working closely with data scientists, ML engineers, and other stakeholders to deploy ML models Setting up and maintaining cloud and edge infrastructure for MIL models deployment Design, implement and maintain scalable infrastructure for ML workloads Good verbal and written communication skills Collaborative and oriented Academic Qualification (s): Bachelor's degree in computer science, Engineering or related subject and/or equivalent formal training or work experience

Work Experience / Skills Requirement(s): 1. Cloud Infrastructure & Kubernetes

Minimum 2 years of hands-on experience managing cloud infrastructure (e.g. AWS,GCP,Azure) in a production environment Hands-on experience with Kubernetes for container orchestration, scaling and deployment of ML services Familiar with Helm charts, ConfigMaps, Secret and autoscaling strategies 2. API Development & Messaging Integration

Proficient in building and maintaining RESTful or gRPC APIs for ML inference and data services Experience in message queue integration such as RabbitMQ or ZeroMQ for asyncronous communication, job queuing or real-time model inference pipelines 3. System Design, Database & Software Architecture

Proven experience working with relational databases (RDBMS) such as Microsoft SQL Server and PostgreSQL. Proficient in schema design, writing complex queries, stored procedures, indexing strategies, and query optimization. Hands-on experience with vector search and embedding-based retrieval systems. Practical knowledge using FAISS, LanceDB, or Qdrant for building similarity search or semantic search pipelines. Understanding of vector indexing strategies (e.g., HNSW, IVF), embedding dimensionality management, and integration with model inference pipelines. 4. Programming Languages

Demonstrated expertise in building scalable and maintainable API services using Python frameworks such as Flask, FastAPI, or Litestar. Fluent in HTML, CSS, and JavaScript for building simple web-based dashboards and monitoring interfaces. Experience with Go, C++, or Rust is a strong plus, especially for performance-critical or low-latency inference applications. 5. Edge AI Deployment

Experience in integrating models using NCNN, MNN, or ONNX Runtime Mobile on mobile and edge devices. Familiarity with quantization, model optimization, and mobile inference profiling tools. 6. MLOps & Tooling

Experience with Docker/Podman, CI/CD pipelines, Git, and ML lifecycle tools such as MLflow, Airflow, or Kubeflow. Exposure to model versioning, A/B testing, and automated re-training workflows. 7. Monitoring & Logging

Ability to set up monitoring (e.g., Prometheus, Grafana) and logging (e.g., ELK stack, Loki) to track model performance and system health. 8. Soft Skills & Collaboration

Strong analytical and troubleshooting skills. Able to work closely with data scientists, backend engineers, and DevOps to deploy and maintain reliable ML systems. Excellent communication and documentation habits.

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Machine Technician

Penang Skills Development Centre

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Job Description

Responsibilities
  • Perform parameter setting to ensure the product readily removes from the mold and in good condition and in the most optimal cycle time according to the company’s standard.
  • Troubleshoots problem in production during the plastic injection process.
  • To keep proper parameter setting recorded in the machine system/ company paper work.
  • To set the parameters for traveler robots in plastic injection moulding machine.
  • Work together with team to achieved 6S in the company.
  • Support other work when requested by superior.
  • Involve in company annual stock count activity.
Requirements
  • Working experience: At least 1-2 years experience working in manufacturing field.
  • Education and qualification: SPM
  • Others: Preferably male candidate
Apply Now

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Machine Technician

George Town Penang Skills Development Centre

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Job Description

Responsibilities

Perform parameter setting to ensure the product readily removes from the mold and in good condition and in the most optimal cycle time according to the company’s standard. Troubleshoots problem in production during the plastic injection process. To keep proper parameter setting recorded in the machine system/ company paper work. To set the parameters for traveler robots in plastic injection moulding machine. Work together with team to achieved 6S in the company. Support other work when requested by superior. Involve in company annual stock count activity. Requirements

Working experience: At least 1-2 years experience working in manufacturing field. Education and qualification: SPM Others: Preferably male candidate Apply Now

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Manufacturing Equipment Engineer

Johor Bahru, Johor Celestica

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Job Description

Summary

The Engineer, Manufacturing Equipment is responsible for the development and/or sourcing of manufacturing equipment to support manufacturing operations goals. Scope of job may include design and development of equipment, qualification, deployment to manufacturing, improving performance and supporting programs to optimize efficiencies while maintaining a safe working environment.

Detailed Description

Performs tasks such as, but not limited to, the following:

  • Designing and Developing: Creating new systems, products, or processes, or improving existing ones.
  • Problem Solving: Analyzing technical challenges and developing innovative solutions using scientific and mathematical principles.
  • Testing and Evaluation: Conducting experiments, analyzing data, and ensuring that designs and systems meet required standards.
  • Project Management: Overseeing projects from conception to completion, including budgeting, scheduling, and resource management.
  • Documentation and Reporting: Preparing technical reports, specifications, and documentation.
  • Collaboration: Working effectively with other engineers, stakeholders, and clients to achieve project goals.
  • Ensuring Safety and Compliance: Adhering to safety regulations and ensuring that designs and processes meet required standards.
  • Continuous Improvement: Identifying opportunities to enhance processes, products, and systems.

Knowledge/Skills/Competencies

  • Degree/ Diploma in Science Computers/Electronics/Mechatronic Engineering or equivalent combination education and experience
  • At least 3 - 7 years of relevant experience in equipment engineering
  • Strong analytical and problem-solving skills.
  • Effective communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Knowledge of relevant software and tools.
  • Attention to detail and a commitment to quality.
  • Understanding of safety regulations and best practices
  • Commit to work in Seelong, Senai
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Manufacturing Equipment Engineer

Johor Bahru, Johor Celestica

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Job Description

Summary The Engineer, Manufacturing Equipment is responsible for the development and/or sourcing of manufacturing equipment to support manufacturing operations goals. Scope of job may include design and development of equipment, qualification, deployment to manufacturing, improving performance and supporting programs to optimize efficiencies while maintaining a safe working environment. Detailed Description Performs tasks such as, but not limited to, the following: Designing and Developing:

Creating new systems, products, or processes, or improving existing ones. Problem Solving:

Analyzing technical challenges and developing innovative solutions using scientific and mathematical principles. Testing and Evaluation:

Conducting experiments, analyzing data, and ensuring that designs and systems meet required standards. Project Management:

Overseeing projects from conception to completion, including budgeting, scheduling, and resource management. Documentation and Reporting:

Preparing technical reports, specifications, and documentation. Collaboration:

Working effectively with other engineers, stakeholders, and clients to achieve project goals. Ensuring Safety and Compliance:

Adhering to safety regulations and ensuring that designs and processes meet required standards. Continuous Improvement:

Identifying opportunities to enhance processes, products, and systems. Knowledge/Skills/Competencies Degree/ Diploma in Science Computers/Electronics/Mechatronic Engineering or equivalent combination education and experience At least 3 - 7 years of relevant experience in equipment engineering Strong analytical and problem-solving skills. Effective communication and collaboration skills. Ability to work independently and as part of a team. Knowledge of relevant software and tools. Attention to detail and a commitment to quality. Understanding of safety regulations and best practices Commit to work in Seelong, Senai

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07 - Engineer, Manufacturing Equipment

Johor Bahru, Johor Celestica Inc.

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07 - Engineer, Manufacturing Equipment

Date: Jul 12, 2025

The Engineer, Manufacturing Equipment is responsible for the development and/or sourcing of manufacturing equipment to support manufacturing operations goals. Scope of job may include design and development of equipment, qualification, deployment to manufacturing, improving performance and supporting programs to optimize efficiencies while maintaining a safe working environment.

Detailed Description
  • Designing and Developing: Creating new systems, products, or processes, or improving existing ones.
  • Problem Solving: Analyzing technical challenges and developing innovative solutions using scientific and mathematical principles.
  • Testing and Evaluation: Conducting experiments, analyzing data, and ensuring that designs and systems meet required standards.
  • Project Management: Overseeing projects from conception to completion, including budgeting, scheduling, and resource management.
  • Documentation and Reporting: Preparing technical reports, specifications, and documentation.
  • Collaboration: Working effectively with other engineers, stakeholders, and clients to achieve project goals.
  • Ensuring Safety and Compliance: Adhering to safety regulations and ensuring that designs and processes meet required standards.
  • Continuous Improvement: Identifying opportunities to enhance processes, products, and systems.
  • Degree/ Diploma in Science Computers/Electronics/Mechatronic Engineering or equivalent combination education and experience
  • At least 5 years of relevant experience in equipment engineering
  • Strong analytical and problem-solving skills.
  • Effective communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Knowledge of relevant software and tools.
  • Attention to detail and a commitment to quality.
  • Understanding of safety regulations and best practices
  • Commit to work in Seelong, Senai
Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

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Technician 2, Manufacturing Equipment

Sandisk

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Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Be responsible for Die Prep equipment day to day line sustaining, PM and conversion.
  • Able to hands on and provide systematic problem analysis.
  • Ability to troubleshoot, analyze complex problems and 5 WHY analysis.
  • Be available for overtime work as of when needed.
  • Experience in PM and major down troubleshooting
  • Responsible to liaise with process engineering team for low yield triggering.

Qualifications

Required:

  • Certificate / Diploma in Electrical & Electronic / Mechatronic or Equivalent.
  • 1~3 years of equipment engineering experience in Wafer soft test equipment maintenance.

Preferred

  • Knowledge in Backgrind, wafer saw and Taping will be added advantage
  • Die Prep equipment maintenance and troubleshooting skill, wafer handling skill and involve in some improvement project.

Skills

  • Able to do troubleshooting and maintenance at Die Prep equipment, hands on and provide systematic problem analysis.
  • Able to perform Preventive maintenance, conversion. and quality improvement projects.

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email

Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Full-time
Job function
  • Industries Semiconductor Manufacturing

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(Fresh Grad ONLY- Intake July 2025 onwards) Engineer, Manufacturing Equipment Engineering (Fresh Grad ONLY - Intake July 2025 onwards) Engineer, Manufacturing Equipment Engineering (Molding) (Fresh Grad ONLY- Intake July 2025 onwards) Engineer, Manufacturing Equipment Engineering (Wire Bond) Technician 3, Product Data Maintenance (PDM)

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TECHNICIAN 2, MANUFACTURING EQUIPMENT

Seremban, Negeri Sembilan onsemi

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Job Description

onsemi is searching for an Equipment Maintenance Technician to support the Fabrication Department. Under minimal supervision, this person will be responsible for maintaining and troubleshooting a variety of manufacturing & fabrication equipment. The Equipment Maintenance Technician ensures equipment and systems are running efficiently and at optimal capacity to meet manufacturing & fabrication needs. This position will report to the Manager of Facilities.

Responsibilities

Key Duties and Responsibilities

  1. Perform hands-on preventative maintenance, troubleshooting, diagnosing, and repairing of industrial automated fabrication equipment daily.
  2. Document routine preventive maintenance on PM checklists, record data if applicable, and maintain completed checklist/history in the tool logbook.
  3. Communicate issues with third-party equipment vendors as needed to expedite troubleshooting and repairs.
  4. Sustain and improve the Preventative Maintenance Program on all fabrication/processing equipment.
  5. Author accurate documentation for the operation and maintenance of various automated industrial equipment.
  6. Test, tune, and adjust equipment to obtain optimum operating performance.
  7. Report spare part requirements.
  8. Determine the type of repairs to be performed, approve, and suggest modifications to equipment, and analyze results to evaluate equipment performance.
  9. Develop or improve techniques to meet quality, function, and cost standards.
  10. Work with electrical systems and electronic components of complex industrial machinery and equipment, following manuals, schematic diagrams, blueprints, and other specifications.
  11. Utilize predictive maintenance technologies to collect equipment performance data, observe trends, and make recommendations.
  12. Troubleshoot and follow through with repairs of manufacturing equipment and electronic controls.
  13. Perform scheduled and unscheduled preventative maintenance tasks using CMMS system.
  14. Respond to unplanned urgent needs to minimize downtime.
  15. Utilize a variety of hand and power tools to construct, renovate, and repair equipment.
  16. Contribute to team effort by accomplishing related duties as requested.
  17. Perform other duties as needed or assigned.
Required Skills
  • Communication
  • Problem Solving
  • Teamwork
  • Time Management
About Us

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

Job Info
  • Job Identification 2503541
  • Posting Date 08/11/2025, 02:58 AM
  • Degree Level Associates / College (APAC)
  • Job Schedule Full time
  • Job Shift 12 Hours-Continuous Operations
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