MLOps Engineer

Role : Senior MLOps Engineer (Azure)

Location: Bengaluru(Mahadevapura)

Work Mode: Hybrid

Joining: Immediate / Short Notice Preferred

Required Skills & Qualifications:

• 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: Strong 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.