Agentic AI platforms engineer

I am currently working with TCS and seeking for an experience Agentic AI platforms engineer

We believe that your skills and expertise are a better match for the skills we are looking for.

Experience Range - 4 to 8 years

Job Description -

4 to 8 years of relevant experience in AI infrastructure, platform engineering, MLOps / LLMOps, cloud platforms, or reliability engineering.

2+ years of experience supporting AI / GenAI workloads, model serving environments or AI platform operations.

• Strong hands-on experience running AI infrastructure and platform services in production environments.
• Ability to keep model, serving and agent platforms healthy, scalable, available and performant.
• Experience with MLOps / LLMOps tools such as MLflow, or equivalent model lifecycle and serving platforms.
• Working knowledge of Docker, Kubernetes, OpenShift AI and container-based deployment patterns.
• Cloud AI platform experience across Azure, AWS or GCP, including GPU / compute capacity planning and management.
• Experience with Infrastructure-as-Code, CI/CD pipelines and automation for provisioning, deployment and operations.
• Strong observability, monitoring, troubleshooting and reliability engineering skills for production AI platforms.
• Ability to support AI teams with platform tooling, access, guardrails, environment configuration and incident response.

If you are interested and to know more about the opportunity, kindly Apply -

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Looking forward to connect!