Job Description

This is an exciting opportunity for an MLOps Engineer to join the analytics department of a leading company in the industrial and manufacturing industry. The role requires expertise in managing machine learning pipelines and deploying scalable solutions.

• Develop and maintain machine learning pipelines to support business analytics initiatives.
• Collaborate with data scientists and engineers to deploy scalable ML models into production environments.
• Optimize and monitor ML workflows to ensure performance and reliability.
• Implement best practices for version control, testing, and continuous integration in ML operations.
• Manage cloud-based resources and tools for efficient data processing and model deployment.
• Troubleshoot and resolve issues related to ML systems and infrastructure.
• Document processes, tools, and frameworks for knowledge sharing within the team.
• Stay updated with the latest advancements in MLOps and incorporate them into workflows.

Be part of the pioneer AI COE of a Global manufacturing playerSuperb benefits and remuneration package
A successful MLOps Engineer should have:

• A degree in Computer Science, Data Science, Engineering, or a related field.
• Hands-on experience with deploying and managing machine learning models in production.
• Proficiency in programming languages such as Python or Java.
• Familiarity with cloud platforms like AWS, Azure, or GCP for ML deployment.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Strong problem-solving skills and attention to detail.
• Enthusiasm for working in the industrial and manufacturing industry.

Our client is a Global Manufacturing player, concentrated on growing it's AI COE with a core focus on developing Malaysian markets

• Competitive annual salary of approximately MYR 96,000-132,000.
• Enjoy a 13-month salary package as part of your benefits.
• Opportunity to work in a large organization with a focus on cutting-edge analytics.
• Permanent role with career growth potential in the industrial and manufacturing industry.

If this MLOps Engineer role excites you, apply now to take the next step in your career.

Skills Required