MLOps Engineer / Developer

Snapshot

Experience: 4–6 years in ML/AI engineering or DevOps

Reports To: MLOps Technical Lead / Manager, AIML

Education: B.E./B.Tech in CS, Software Engineering, or Data Science

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.

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 (solid —
- 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.

Skills: azure,ml,data science,fastapi,pipelines

📌 AI Engineer + ML ops (Mumbai)
🏢 Zorba AI
📍 Mumbai