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 (robust), 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 (WB / 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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