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Lead AI Platform Engineer

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Onsite

Lead AI Platform Engineer

Avant Garde

Lead AI Platform Engineer

Skills

DockerPythonAIKubernetesFastAPI

1 month ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

23 September 2026

What they need


Job Summary

Specialist AI-platform engineering role with a leading financial-markets infrastructure organisation. The incumbent will design, scale and operate production AI and GPU platforms across on-premise and private or sovereign cloud environments. The mandate requires production MLOps or LLMOps, distributed model inference, Python, FastAPI, AsyncIO, gRPC, modern serving runtimes, Kubernetes, Docker, Helm, NVIDIA GPU tooling, enterprise AI gateways, model failover, observability, guardrails, performance tuning and GitOps or CI/CD.

Responsibilities

  • design, scale and operate production AI and GPU platforms across on-premise and private or sovereign cloud environments.
  • production MLOps or LLMOps
  • distributed model inference
  • Python
  • FastAPI
  • AsyncIO
  • gRPC
  • modern serving runtimes
  • Kubernetes
  • Docker
  • Helm
  • NVIDIA GPU tooling
  • enterprise AI gateways
  • model failover
  • observability
  • guardrails
  • performance tuning
  • GitOps or CI/CD

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