ML Ops / Integration Engineer

TANGSPAC CONSULTING PTE LTD

Singapore, Singapore
Not specified (potentially hybrid or fully remote based on industry standards).
4+ years ml engineering experience
Python and linux bash scripting
Openshift docker kubernetes deployment
TANGSPAC CONSULTING PTE LTD is seeking an ML Ops / Integration Engineer to develop and optimize AI solutions at enterprise scale. The ideal candidate will have a strong technical background in machine learning, automation, and cloud technologies, with a focus on delivering impactful AI systems

Job Summary

  • This role involves building and maintaining scalable AI pipelines to integrate generative models into enterprise production environments.
  • Candidates will develop automation scripts using Python and Linux tools to streamline deployments and system operations workflows.
  • The position offers the opportunity to work on high-impact AI initiatives that directly shape next-generation enterprise capabilities.

Matching Summary

Match Score: 85

TANGSPAC CONSULTING PTE LTD is seeking an ML Ops / Integration Engineer to develop and optimize AI solutions at enterprise scale. The ideal candidate will have a strong technical background in machine learning, automation, and cloud technologies, with a focus on delivering impactful AI systems.

Skills & Requirements

Must-have

  • 4+ years ML engineering experience
  • Python and Linux Bash scripting
  • OpenShift Docker Kubernetes deployment
  • AWS cloud platform experience
  • CI/CD pipeline management

Nice-to-have

  • Generative AI and RAG pipeline knowledge
  • AI security practices familiarity
  • Observability and monitoring tools
  • Cross-functional collaboration skills
  • Hybrid cloud infrastructure experience

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • 4+ years experience in ML engineering or AI integration
  • Strong foundational technical knowledge and problem-solving skills

Work Rights

Not specified

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