- Can I apply
- Needs M.Sc or B.Tech or B.E. · 3–6 yrs
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On HPE's site: account needed, ~10–15 min
Early: posted 1 h ago on their own site
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About the role
A hands-on engineering role bridging data science and enterprise deployment.
What you'll do
- 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
What you need
- 4–6 yrs of experience
- SQL
- Git
- Python
- AWS
- PostgreSQL
- Docker
- B.Tech or B.E.
Good to have
- Airflow
- Terraform
- Redis
- MLOps
- Machine learning
- FastAPI
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