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The ML Ops Integration Engineer position at NTT Singapore involves building and integrating AI solutions into enterprise environments, collaborating closely with data scientists and DevOps teams. The role requires strong technical expertise in AI system integration, cloud platforms, and automation, alongside a focus on security and performance optimization.
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Job Summary
This role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments.
You will work closely with data scientists, architects, and DevOps teams to design and optimize AI pipelines.
The position requires implementing network security protocols to safeguard AI systems and data pipelines.
Matching Summary
Match Score: 75
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The ML Ops Integration Engineer position at NTT Singapore involves building and integrating AI solutions into enterprise environments, collaborating closely with data scientists and DevOps teams. The role requires strong technical expertise in AI system integration, cloud platforms, and automation, alongside a focus on security and performance optimization.
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Skills & Requirements
Must-have
Linux shell scripting and Bash
OpenShift Docker Kubernetes experience
AWS cloud platform knowledge
Python automation and ML tasks
AI model integration in production
Nice-to-have
Generative AI prompt engineering
Agentic AI concepts understanding
Langfuse Elastic Stack observability
Ctrl-M workflow orchestrator
Splunk Geneos monitoring tools
Key Requirements
Bachelor's degree in Computer Science or Engineering
4+ years of Machine Learning engineering experience