AI Engineer + MLops Lead

Job Description

• Skill Set :

  MLOps

• Total Experience :

  7.00 to 10.00 Years

• No of Openings :

  1

• Job Post Date :

  07/09/2026

• Job Expiry Date :

  30/11/2026

• Domain :

  IT

• Location :

  BENGALURU [India]

• Job Reference No :

  4105917

Job Summary

Build and operate the MLOps pipelines that take AI/ML and GenAI models from experimentation to production ‿ packaging, CI/CD delivery, model serving, and monitoring. A hands on engineering role bridging data science and enterprise deployment.

Key Responsibilities

• Build end to end pipelines ‿ data ingestion, training, evaluation, packaging, versioning, and deployment.

• Develop and maintain Jenkins CI/CD for Dev ⿿ QA ⿿ Production promotion with multi stage gates.

• Deploy model serving APIs on AKS using FastAPI and vLLM; apply ONNX/TensorRT optimizations.

• Set up observability ‿ drift detection (Evidently AI), Prometheus/Grafana, Azure Monitor.

• Apply DevSecOps practices ‿ Key Vault, Managed Identity, SonarQube, Trivy/Snyk.

• Application Development ‿ REST, WebSocket Frameworks using FastAPI

Must Have Skills

• 4+ years in ML/AI engineering or DevOps with hands on production MLOps pipeline experience.

• CI/CD tooling: CI tooling (UV, Ruff, Pyrefly), Jenkins (strong), Azure DevOps, GitOps concepts; Git and pre commit workflows.

• Databricks ML pipelines (Delta Lake, Workflows, MLflow), Asset Bundles and PySpark for data processing.

• Model serving: FastAPI, Docker, AKS; exposure to vLLM and ONNX/TensorRT optimization.

• Python (strong ‿ FastAPI, Pydantic, async), Bash, YAML/SQL scripting.

• Cloud knowledge ‿ Azure/AWS/GCP Storage, AI related services.

• Databases and storage: PostgreSQL, Redis, ADLS Gen2.

• Understanding of containerization, Helm, and infrastructure automation.

Nice to Have

• Airflow, DVC, and experiment tracking (W&B / Comet ML).

• Terraform, KEDA, Azure APIM, and AAD RBAC configuration.

• LLM fine tuning pipelines; Ray Serve or BentoML exposure.

• Groovy (Jenkinsfile).

• Manufacturing or semiconductor domain experience.