AI Engineer Lead- (MLops)
BengaluruFull-time7–11 yrsPosted 1 week ago
Senior data science role at UST in Bengaluru. Needs 7–11 years and a B.Tech, B.E. or M.Tech.
About the role
About the Role Own the complete MLOps backbone for AI/ML and GenAI solutions — from model packaging and CI/CD delivery through production monitoring. Bridge data-science experimentation and enterprise-scale deployment, and set engineering standards for the Enterprise AI MLOps practice.
What you'll do
- Design end-to-end pipelines — ingestion, training, evaluation, packaging, versioning, deployment, and monitoring
- Own Jenkins CI/CD (Declarative/Scripted) for Dev → QA → Production with multi-stage gates
- Deploy model-serving APIs on AKS (FastAPI, vLLM); apply ONNX/TensorRT and blue/green rollouts
- Build observability stacks — drift detection (Evidently AI), Prometheus/Grafana, Azure Monitor
- Enforce DevSecOps — zero-credential pipelines via Key Vault + Managed Identity, SonarQube, Trivy/Snyk
What you need
- MLOps
- Machine learning
- SQL
- Python
- LLMs
- Databricks
Good to have
- Airflow
- Spark
- CI/CD
- FastAPI
- Azure
- Jenkins