MLOps Engineer

Position : MLOps Engineer (4–8 years)

Location : Bangalore / Gurgaon with Hybrid Setup

We are looking for an experienced MLOps Engineer with strong foundations in DevOps practices and hands-on expertise in Azure cloud services. The ideal candidate will design, automate, and optimize ML model development and deployment pipelines, ensuring scalability, reliability, and security across the machine learning lifecycle.

Key Responsibilities

• Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment.
• Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks.
• Implement CI / CD pipelines for ML workflows using Azure DevOps , GitHub Actions, or Jenkins.
• Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep).
• Monitor and manage deployed models using Azure Monitor , Application Insights, and MLflow.
• Implement best practices in model versioning, model registry, experiment tracking, and artifact management.
• Ensure security, compliance, and cost optimization of ML solutions deployed on Azure.
• Work with cross-functional teams (Data Engineers, DevOps Engineers, Data Scientists) to streamline ML delivery.
• Develop monitoring / alerting for ML model drift, data drift, and performance degradation.

Required Skills

Preferred Qualifications

Soft Skills

Education

Skills Required

Prometheus, Azure Databricks, Grafana, ARM Templates, Azure Functions, Docker, Terraform, Azure Data Lake, Devops Tools, Azure Storage, Python, Azure Devops, Sql, Azure ML, Azure Data Factory, MLops, Kubernetes