About the Role We are looking for a hands-on MLOps Engineer / Developer to build and operate production-grade ML and GenAI infrastructure. You will work closely with AI/ML teams to take models from experimentation to production through robust pipelines, CI/CD, model serving, monitoring, and cloud deployment The ideal candidate should have strong experience with Python, Jenkins, Azure, Databricks, FastAPI, Docker, Kubernetes/AKS and MLflow , along with a good understanding of DevSecOps and production ML systems. 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 (solid), 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. Good 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). • Manufac

📌 MLOps Engineer (Karnataka)
🏢 RoundCircle
📍 Karnataka