Senior MLOps / DevOps Engineer · Bengaluru

Support a large global retail organization by designing, implementing, and maintaining scalable machine learning and data platform solutions on Microsoft Azure.

Key Responsibilities

• Design, build, and automate end-to-end CI/CD pipelines using Azure DevOps for machine learning applications.
• Architect, deploy, and manage scalable Azure Kubernetes Service (AKS) clusters optimized for ML model inference and training.
• Enable and streamline end-to-end MLOps workflows integrating Azure ML and Databricks.
• Partner with Data Science and Data Engineering teams to enhance model training reliability, scalability, and security.
• Automate model packaging, versioning, deployment, and monitoring pipelines across staging and production environments.
• Implement robust monitoring and telemetry for ML model performance, data drift, and operational metrics.
• Ensure infrastructure and deployment mechanisms adhere to enterprise security and governance standards.
• Develop automation scripts to provision and manage cloud resources and compute clusters.
• Optimize compute resource allocation and cloud expenditure for data science and AI workloads.
• Troubleshoot pipeline failures, system bottlenecks, and environment inconsistencies.