- Experience: 3-5 years in MLOps, DevOps, or related fields with direct experience in ML model deployment and monitoring.
- Cloud Platforms: Proficient in Databricks Azure, and AWS environments.
- MLOps Tools: Hands-on with Kubernetes, Docker, Apache Airflow, MLflow, Databricks, and Delta Lake.
- CI/CD: Experience building robust CI/CD pipelines for ML using Git, Azure DevOps, Jenkins, or GitHub Actions.
- Automation & Scripting: Robust programming/scripting in Python. Familiarity with shell scripting is a plus.
- IaC: Experience in provisioning infrastructure using Terraform or similar tools.
- Model Governance: Understanding of model versioning, governance, reproducibility, and compliance in enterprise environments.
- Problem Solving: Ability to identify bottlenecks, optimize workflows, and deliver scalable solutions across the ML lifecycle.
📌 MLOPS Engineer (Karnataka)
🏢 C5i
📍 Karnataka
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