Kubernetes SRE

Senior MLOps Consultant (Agentic AI Engineering Delivery) Overview :

Our client, a leading organization in the banking sector, is seeking a Senior MLOps Consultant with proven, hands-on experience building and deploying production-grade Agentic AI systems. This role is deeply technical, requiring strong software engineering and platform delivery expertise rather than QA or oversight. The ideal candidate has built and shipped complex ML / AI systems leveraging MLOps best practices and modern GenAI frameworks.

This consultant will be instrumental in designing, automating, and scaling ML and GenAI workloads within secure, enterprise-grade environments-combining MLOps engineering, Agentic AI development, and platform reliability into one cohesive delivery function.

Key Responsibilities :

• Design, implement, and optimize end-to-end MLOps pipelines for model training, testing, deployment, and monitoring.
• Build, ship, and operationalize Agentic AI systems and large-scale ML workflows with a focus on automation, scalability, and reliability.
• Develop and maintain robust platform engineering solutions to support high-performance ML / GenAI workloads.
• Collaborate with cross-functional teams (Data Science, Engineering, Cloud Architecture) to deliver secure and high-quality systems.
• Manage containerized AI workloads using Docker and Kubernetes for efficient orchestration and scaling.
• Integrate ML pipelines into cloud and enterprise data ecosystems (AWS, Azure, or Google Cloud Platform).
• Continuously improve system observability, model performance, and deployment automation.
• Contribute to engineering best practices, reusable frameworks, and documentation to enable delivery excellence.

Required Skills & Experience :