ML Engineer I
Who we are:
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at .
The Prospect:
· 8+ years in ML/AI engineering or DevOps (incl. 4+ yrs production MLOps)
· Education: Master's (preferred) or Bachelor's in CS, Software Engineering, or Data Science
· 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. Key Responsibilities
· 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.
· Set MLOps engineering standards and mentor engineers across the practice
What are we Looking for:
• 7+ years in ML/AI engineering or DevOps with 4+ years operating production MLOps pipelines.
• CI/CD & Dev tooling: Jenkins (expert), Azure DevOps, ArgoCD (GitOps); UV, Ruff, Pyrefly, pre-commit.
• MLOps & data: Databricks end-to-end (Delta Lake, Workflows, MLflow, Unity Catalog), Airflow, DVC, PySpark.
• Serving & infra: FastAPI, ONNX/TensorRT, AKS, Helm, Docker, KEDA, Azure APIM, Terraform.
• Security: Key Vault, AAD RBAC, Managed Identity; zero-credential pipeline design
• Languages: Python (expert — FastAP
📌 AI Engineer Lead- (Bengaluru)
🏢 UST
📍 Bengaluru