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Unison Consulting

ML integration Engineer

Sorry, this job was removed at 04:18 p.m. (SGT) on Wednesday, Mar 18, 2026
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In-Office
Singapore, SGP
In-Office
Singapore, SGP

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  • 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.
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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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Unison Consulting Singapore, Singapore, SGP Office

Singapore, Singapore

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