MLOps+ AI Engineer

About the Role
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.
Experience: 3-7 years in ML/AI engineering or DevOps
Location: Bangalore (Whitefield) - Work from office, 5 days a week
Notice Period: Immediate joiners preferred (0-15 days)
Interview Mode: In-person interviews (Whitefield, Bangalore)
Education: B.E./B.Tech in CS, Software Engineering or Data Science
Please note: An online assessment is mandatory as part of the selection process.
Key Responsibilities
Build end-to-end pipelines - data ingestion, training, evaluation, packaging, versioning and deployment
Develop and maintain Jenkins CI/CD for Dev to QA to 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
Build REST and WebSocket applications using FastAPI
Must-Have Skills
3+ years in ML/AI engineering or DevOps with hands-on production MLOps pipeline experience
CI/CD 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
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 and 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

Work arrangement
No