MLOPS Engineer

LTM Pan India location

Ready to support till 11:30 PM IST giving overlap for US hours

Mandatory Required skills - Azure DevOps, Ci / CD, Azure ML ops

Key Responsibilities ML OPS Engineer

ML Platform Pipelines

• Design and implement endtoend ML pipelines for training validation packaging and deployment
• Create reusable templates and tooling for experimentation feature consumption and model lifecycle management

CICD Release Engineering

• Build CICD for ML tests quality gates approvals using Azure DevOpsGitHub Actions
• Manage model registry artifact versioning and environment reproducibility

Deployment Monitoring Reliability

• Implement batch and realtime serving patterns automate monitoring for drift performance and data quality
• Establish SLOsSLAs for ML services lead incident response and rootcause analysis for ML production issues

Cloud Security

• Operate ML infrastructure on Azure preferred including compute networking IAM and secrets management
• Apply governance access controls auditability and compliance requirements

Technical Qualifications Needed

Education

Bachelors or Masters degree in Computer Science Engineering Statistics or a related field

Mandatory Required skills

• 5 years of experience in ML Ops DevOps Data Engineering Data Science or related roles
• Handson experience with Azure ML andor Databricks MLflow and asset bundles
• Kubernetes and orchestration experience familiarity with model serving frameworks
• Strong Python and SQL skills experience with automated testing and observability
• Experience with monitoringalerting eg Azure Monitor PrometheusGrafana

Desired Skills

• InfrastructureasCode TerraformBicep and policyascode experience
• Experience with feature stores and data quality frameworks
• Experience supporting regulated data environments and security reviews
• Ready to support till 1130 PM IST giving overlap for US hours Shift allowances applicable