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Strong Tier-1 brand plus metro role increases applicant competition to medium.
Specialized DevOps/MLOps and cloud skills create high industry specificity and low transferability.
Explicit 8+ years and mandatory Azure/Kubernetes/MLOps skills make shortlisting highly strict.
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Design, implement, and maintain CI/CD deployment pipelines for batch and real-time ML models across on-premise and Azure cloud environments.
Ensure deployment security compliance and operational observability through logging, monitoring, and alerting frameworks to enhance reliability and performance.
Mentor ML Ops engineers and independently lead design, solutioning, and estimations while collaborating with multiple business, technology, and analytics teams.
8-10+ years of relevant DevOps/MLOps experience.
Proficiency with Azure cloud services (Synapse, Databricks, Azure Apps, AKS) and deployment tools such as Azure DevOps, Tosca, YAML scripting, and code versioning tools.
Experience with containerization and orchestration technologies including Docker and Kubernetes.
Work Experience Required: 8-10+ years relevant experience.
Experienced individual contributor comfortable leading solutions and estimations independently in complex, multi-team environments.
Strong background in embedding security best practices and governance in deployment processes for regulated industries.
Skilled mentor who can guide ML Ops engineers and drive best practice adoption across diverse data and analytics ecosystems.