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ML integration Engineer

ML integration Engineer

Unison GroupSingapore, Singapore, SG
18 days ago
Job type
  • Quick Apply
Job description
  • Design and implement scalable ML pipelines for Generative and Agentic AI applications.
  • Integrate AI models into production environments using containerized platforms such as  OpenShift  and  Kubernetes .
  • Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
  • Develop and maintain automation scripts using  Linux shell scripting ,  Python , or other relevant tools.
  • Ensure seamless deployment and integration of AI services in  cloud environments  (e.g., AWS, Azure, GCP).
  • Implement and maintain  network security protocols  to safeguard AI systems and data pipelines.
  • Monitor and optimize system performance , reliability , and scalability .
  • Support CI / CD processes and infrastructure for AI model deployment and updates.

    • Requirements

    • 5+ years of experience in Machine Learning engineering or AI system integration.
    • Hands-on experience with OpenShift, Docker, Kubernetes .
    • Knowledge of cloud platforms (e.g. AWS , GCP) is a must-have.
    • Exposure to data and network security and compliance in AI systems.
    • Understanding of  Generative AI and  Agentic AI concepts .
    • Experience with LLM prompt engineering, or RAG pipelines.
    • Knowledge of API integration and microservices architecture.
    • Proficiency in Python used both for ML and automation tasks
    • Good knowledge of Bash and Unix / Linux command-line toolkit is a must-have.
    • Knowledge of Workflow Orchestrator , such as Ctrl-M
    • Knowledge of Logging and Monitoring tools, such as Splunk and Geneos .
    • Experience with Observability framework , such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
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    Engineer Integration • Singapore, Singapore, SG