Full Time Senior Machine Learning Engineer Jobs, in Ambition Federal Territory - Maukerja

Senior Machine Learning Engineer (ML & AI) | Malaysia

About the client?
Our client is a leading pan-Asian Financial Instiution with operations across the region. You will join the Data & Analytics team to build and run enterprise data and AI solutions. You'll also help local entities across the region deliver their own AI initiatives. This is a hands-on role with Machine Learning, Generative AI, LLMs and Agentic AI on a modern cloud data platform.

The Role
You will turn AI and ML models into reliable, scalable production solutions. Key responsibilities include:

• Designing, building and maintaining MLOps pipelines that automate model training, validation, deployment, monitoring and lifecycle management
• Partnering with business stakeholders to develop and implement Generative AI and Agentic AI applications that drive business value and efficiency
• Working with Data Scientists, Data Engineers, Architects and Platform teams to put AI/ML models into production
• Improving the performance, scaling and reliability of ML solutions on the Group Data Platform
• Providing production support for AI applications, models and data pipelines, including incident investigation, root cause analysis and resolution
• Making sure solutions comply with enterprise data governance, security, privacy and regulatory requirements
• Driving continuous improvement through automation, platform modernisation and adoption of emerging AI technologies
• Maintaining technical documentation and mentoring team members on engineering best practice

What We're Looking For
We want a hands-on engineer who enjoys taking AI from build to production and keeping it running reliably at scale.

You'll bring:

• Minimum 5+ years in Software Engineering, DevOps, MLOps, AI Engineering or a related field
• Hands-on experience developing and deploying Machine Learning, Generative AI, LLM-based and Agentic AI applications
• Experience with MLOps and DevOps practices, including model monitoring and infrastructure automation (e.g. Terraform), CI/CD pipelines (Jenkins, GitHub Actions or Azure DevOps)
• Experience with containerisation and orchestration (Docker, Kubernetes)
• Familiar wwith cloud platforms (Microsoft Azure and/or AWS)
• Strong proficiency in Python and Spark, plus solid software engineering practices
• Good understanding of the ML model lifecycle and deployment practices
• Strong communication skills and the ability to explain technical concepts to non-technical audiences
• A Bachelor's degree in Computer Science, IT, Engineering, Mathematics or a related field

Ready to build AI that runs at scale? Apply now.
JTK Number: JTKSM 995 | Company Registration Number: *************88 (1048918-T)