- Azure ML, MLflow and Databricks
- Azure DevOps, GitHub Actions or Jenkins
- Docker, Kubernetes, Terraform and Python
- Model registry, feature store and secrets management
- Observability, release governance and incident support
Qualifications
Bachelor's degree in Computer Science, Engineering or related field. Azure, Kubernetes or DevOps certification preferred.
Key Deliverables / Success Measures
📌 ML Ops Engineer (Bengaluru)
🏢 SRS Infoway
📍 Bengaluru
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