212 Machine Operation jobs in Malaysia

* 2 years Experience

* Edit and format text, images and graphics using Illustrator, Photoshop or similar software

* Ensure files are print-ready (correct size, resolution, bleeds and color mode)

* Operate and maintain digital printing machines (Ricoh)

* Set up print jobs according to specifications (paper type, size, color, finishing)

* Monitor output to ensure consistent quality, correct colors and alignment.

Job Type: Full-time

Pay: RM2, RM5,000.00 per month

Benefits:

• Free parking

Ability to commute/relocate:

• Kuala Lumpur: Reliably commute or planning to relocate before starting work (Preferred)

Work Location: In person

We are ooking for a sharp, cloud-savvy MLOps Engineer to help deploy, scale, and monitor machine learning models in production—across cloud and edge environments.

What You'll Do:

• Deploy & scale ML models using Docker, Kubernetes, and cloud tools (AWS/GCP/Azure)
• Build robust APIs, data pipelines, and real-time model services
• Manage CI/CD, model versioning, and edge deployment (ONNX, NCNN, quantization)
• Monitor performance with Prometheus, Grafana, and ELK stack
• Work closely with data scientists & engineers to automate and streamline ML workflows

Tech Stack:

Python (FastAPI, Flask) Docker & K8s SQL & NoSQL Prometheus & Grafana ONNX, NCNN MLflow GitHub Actions

You'll Need:

• 2+ years in cloud-based infrastructure (AWS/GCP/Azure)
• Strong Python & API skills
• Experience with MLOps tools, model deployment, and edge inference

Job Type: Full-time

Pay: From RM5,000.00 per month

Benefits:

• Health insurance
• Opportunities for promotion
• Professional development

Application Question(s):

• When can you start work?
• How much is your expected salary?

Experience:

• MLOps Engineer: 2 years (Preferred)

Work Location: In person

Duties and Responsibilities:

• Provides deep technical expertise in the aspects of cloud infrastructure design and API development for the business environments
• Bridges the gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML - powered solutions
• Ensures solutions are well designed with maintainability/ease of integration and testing across multiple platforms
• 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):
2. API Development & Messaging Integration3. System Design, Database & Software Architecture4. Programming Languages5. Edge AI Deployment6. MLOps & Tooling7. Monitoring & Logging8. Soft Skills & Collaboration

• 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
• 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
• 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
• 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
• 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
• 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
• Ability to set up monitoring (e.g., Prometheus, Grafana) and logging (e.g., ELK stack, Loki) to track model performance and system health
• 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

Powered by JazzHR

eAvBFXT7a1

Duties and Responsibilities:

• Provides deep technical expertise in the aspects of cloud infrastructure design and API development for the business environments.
• Bridges the gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML - powered solutions
• Ensures solutions are well designed with maintainability/ease of integration and testing across multiple platforms.
• 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

2. Minimum 2 years of hands-on experience managing cloud infrastructure (e.g. AWS,GCP,Azure) in a production environment

3. Hands-on experience with Kubernetes for container orchestration, scaling and deployment of ML services

4. Familiar with Helm charts, ConfigMaps, Secret and autoscaling strategies

5. API Development & Messaging Integration

6. Proficient in building and maintaining RESTful or gRPC APIs for ML inference and data services

7. Experience in message queue integration such as RabbitMQ or ZeroMQ for asyncronous communication, job queuing or real-time model inference pipelines

8. System Design, Database & Software Architecture

9. Proven experience working with relational databases (RDBMS) such as Microsoft SQL Server and PostgreSQL.

10. Proficient in schema design, writing complex queries, stored procedures, indexing strategies, and query optimization.
11. Hands-on experience with vector search and embedding-based retrieval systems.
12. Practical knowledge using FAISS, LanceDB, or Qdrant for building similarity search or semantic search pipelines.

13. Understanding of vector indexing strategies (e.g., HNSW, IVF), embedding dimensionality management, and integration with model inference pipelines.

14. Programming Languages

15. Demonstrated expertise in building scalable and maintainable API services using Python frameworks such as Flask, FastAPI, or Litestar.

16. Fluent in HTML, CSS, and JavaScript for building simple web-based dashboards and monitoring interfaces.

17. Experience with Go, C++, or Rust is a strong plus, especially for performance-critical or low-latency inference applications.

18. Edge AI Deployment

19. Experience in integrating models using NCNN, MNN, or ONNX Runtime Mobile on mobile and edge devices.

20. Familiarity with quantization, model optimization, and mobile inference profiling tools.

21. MLOps & Tooling

22. Experience with Docker/Podman, CI/CD pipelines, Git, and ML lifecycle tools such as MLflow, Airflow, or Kubeflow.

23. Exposure to model versioning, A/B testing, and automated re-training workflows.

24. Monitoring & Logging

25. Ability to set up monitoring (e.g., Prometheus, Grafana) and logging (e.g., ELK stack, Loki) to track model performance and system health.

26. Soft Skills & Collaboration

27. Strong analytical and troubleshooting skills.

28. Able to work closely with data scientists, backend engineers, and DevOps to deploy and maintain reliable ML systems.
29. Excellent communication and documentation habits.

About the role

We are seeking an experienced Machine Technician to join our dynamic team at Metro Plastic Manufacturer Sdn Bhd in Taiping, Perak. As a full-time Machine Technician, you will be responsible for the maintenance, repair, and optimisation of our state-of-the-art manufacturing equipment, ensuring the smooth and efficient operation of our production processes.

What you'll be doing

• Machine Setup & Operation

• Set up and adjust machine parameters (temperature, pressure, cycle time).

• Start up, operate, and shut down injection extrusion machines.

• Quality Control

• Inspect finished parts visually and with measuring tools.

• Record production data, reject defective products, and troubleshoot defects (flash, short shot, burn marks, etc.).

• Maintenance & Troubleshooting

• Perform preventive and corrective maintenance.

• Diagnose and fix issues such as hydraulic leaks, heater failures, or automation errors.

• Safety & Compliance

• Follow safety SOPs, lock-out/tag-out procedures.

• Ensure compliance with ISO, or other relevant standards.

What we're looking for

1. Minimum 3 years of experience as a Machine Technician or in a similar role within the manufacturing industry
2. Strong technical knowledge and understanding of the principles of mechanical, electrical, and hydraulic systems
3. Ability to read and interpret technical manuals, blueprints, and schematics
4. Proficient in the use of hand tools, power tools, and diagnostic equipment
5. Excellent problem-solving and analytical skills to identify and resolve issues efficiently
6. Commitment to maintaining a safe and organised work environment
7. Good communication skills to interact with the production team and report on machine performance

About us

Metro Plastic Manufacturer Sdn Bhd is a leading provider of high-quality plastic products serving a diverse range of industries. With over 20 years of experience, we are known for our commitment to innovation, quality, and customer satisfaction. Our state-of-the-art manufacturing facilities and skilled workforce enable us to deliver exceptional products and services to our clients.

If you are excited to join our team and contribute to our success, please apply now.

Job Purpose

The Machine Technician is responsible for operating, maintaining, and troubleshooting chocolate production machinery to ensure smooth and efficient production. The role focuses on minimizing downtime, ensuring product quality, and supporting continuous improvement in line with food safety and production standards.

Key Responsibilities

• Operate, monitor, and adjust production machines according to daily production schedules.
• Perform preventive and corrective maintenance on production equipment.
• Troubleshoot and resolve mechanical and electrical issues to minimize downtime.
• Support in machine setup, calibration, and changeovers for different production runs.
• Ensure all machines operate safely and efficiently in compliance with GMP and HACCP standards.
• Maintain accurate records of machine performance, breakdowns, and maintenance activities.
• Collaborate with Production Operators and Supervisors to achieve output and quality targets.
• Assist in training operators on safe machine handling and basic troubleshooting.
• Report any recurring machine issues and recommend improvements.
• Carry out other duties as assigned by Production Supervisor/Manager.

Requirements

• Certificate/Diploma in Mechanical, Electrical, Mechatronics, or related field.
• Minimum 1–2 years of relevant working experience as Machine Technician (experience in food manufacturing or FMCG preferred).
• Strong knowledge of production machinery operation and maintenance.
• Ability to read and understand technical manuals, diagrams, and machine schematics.
• Hands-on troubleshooting skills in both mechanical and electrical aspects.
• Knowledge of GMP, HACCP, or other food safety standards is an advantage.
• Willing to work shifts, weekends, and overtime when necessary.
• Team player, proactive, and detail-oriented.

Job Types: Full-time, Permanent

Pay: RM2, RM3,500.00 per month

Benefits:

• Free parking
• Health insurance
• Maternity leave
• Opportunities for promotion
• Professional development

Education:

• Diploma/Advanced Diploma (Preferred)

Work Location: In person

Role Summary:

Maintain, diagnose, and repair specialised brake pad production equipments.

Key Responsibilities:

Perform preventive and corrective maintenance on specialised machineries.

Diagnose complex mechanical/electrical issues specific to friction presses, ovens, friction powder mixer, testing equipment and dynamometers.

Train junior technicians in equipment troubleshooting.

Specialized Expertise Required:

10+ years hands-on experience repairing brake production machinery.

Familiarity with proprietary PLC systems used in Chinese machines.

Expertise in minimizing downtime in high-volume factories.

Able to speak and understand Mandarin to be able to communicate with Chinese technicians and understand manuals written in Mandarin.

Role Objective:

Accountable for performing Preventive Maintenance, Breakdown Maintenance, Predictive Maintenance, Continuous Improvement Activities, and Autonomous Maintenance.

Responsibilities :

• To report to Supervisor/Executive of Plant Maintenance Section.
• To carry out Preventive Maintenance activities.
• To perform troubleshooting work with supervision and produce good quality result.
• Maintain preventive maintenance checklists, service reports, and other routine records.
• Involve with the installation, inspection, repair, and maintenance of electrical, mechanical, pneumatic, PLC, robotic systems, and other related systems on the production line.
• Undertake general repairs and modifications of existing machinery and equipment.
• Execute maintenance activities based on updated Implementation Schedules.
• To increase knowledge in tools equipment and machine handling.
• Update maintenance reports in accordance with the Master Schedule, Safety Board, safety-related activities, and Autonomous Maintenance (AM) board activities.

Requirements :

• Mechanical /Mechatronics / Electrical Engineering background.
• At least 1 years working experience as a technician.

Job Types: Full-time, Permanent, Fresh graduate

Pay: RM1, RM2,800.00 per month

Benefits:

• Dental insurance
• Free parking
• Health insurance
• Maternity leave
• Meal allowance
• Meal provided
• Opportunities for promotion
• Parental leave
• Professional development

Ability to commute/relocate:

• Shah Alam : Reliably commute or planning to relocate before starting work (Required)

Education:

• Diploma/Advanced Diploma (Preferred)

Experience:

• Technician: 1 year (Preferred)

Willingness to travel:

• 25% (Preferred)

Work Location: In person

Job Description

• Follow WI/SOP, safety procedures and company policies for daily operation.
• Perform routine maintenance machines.
• Repair and troubleshooting machine mechanical issues.
• Perform daily machine 4M.
• Perform model change for machine setting.
• Operate equipment safely and effectively for production processing.
• Perform and involve in kaizen activities.
• Perform other related duties as assigned by Supervisor or HOD.

Requirements

• Possess at least Certificate or Diploma in Engineering (Electronic/ Mechanical).
• At least two (2) years of working experiences in manufacturing sector.
• Required Skills: technical troubleshooting and machine maintenance.
• Other experience: welding, electrical wiring, air-conditioning, PLC Knowledge.
• Willing to work on shift.

Job Types: Full-time, Permanent

Schedule:

• Day shift
• Night shift

Job Types: Full-time, Permanent

Pay: RM1, RM3,191.33 per month

Work Location: In person