Senior ML Engineer

Build and operate end-to-end ML / AI pipelines (data → training → deployment → monitoring).

Automate CI / CD for ML / AI with Jenkins, integrate MLflow for tracking and registry.

Deploy scalable batch and online inference systems using Docker and Kubernetes / ECS.

Implement observability for model.

Manage streaming pipelines with Kafka and Flink.

Ensure secure, high-quality code execution for user-submitted scripts.

Lead Agent & Foundational Model Operations — integrate APIs (OpenAI, Gemini, Anthropic), manage RAG pipelines and vector stores, handle prompt / tool management, caching, routing, and guardrails.

Collaborate with product, legal, and security teams to ensure compliance and responsible model use.