Vice President Ml Ops Engineer

Barclays

Noida, India
On-site
Mlops frameworks design and governance
Aws-based architectures
Automation strategies for ai/genai models
Barclays is seeking a Vice President ML Ops Engineer for their Noida, India location to lead the design, implementation, and governance of enterprise-grade MLOps frameworks, ensuring efficient deployment of AI and Generative AI models. The role demands strong technical expertise in AWS, programming, and DevOps, alongside leadership capabilities to mentor a high-performing team and drive data strategy in line with business objectives

Job Summary

  • Lead the design, implementation, and governance of enterprise-grade ML Ops frameworks that enable scalable, secure, and efficient deployment of AI and Generative AI models.
  • Architect and govern scalable, secure, and cost-optimized AWS platforms for enterprise ML and GenAI workloads.
  • Build comprehensive model observability and monitoring systems for performance, drift, data quality, latency, and operational health.

Matching Summary

Match Score: 87

Barclays is seeking a Vice President ML Ops Engineer for their Noida, India location to lead the design, implementation, and governance of enterprise-grade MLOps frameworks, ensuring efficient deployment of AI and Generative AI models. The role demands strong technical expertise in AWS, programming, and DevOps, alongside leadership capabilities to mentor a high-performing team and drive data strategy in line with business objectives.

Skills & Requirements

Must-have

  • MLOps frameworks design and governance
  • AWS-based architectures
  • Automation strategies for AI/GenAI models
  • Python, Bash, SQL programming
  • MLflow, Kubeflow, AWS SageMaker Pipelines
  • AWS (SageMaker, Bedrock, Lambda, Step Functions, CloudWatch)
  • CI/CD (GitHub Actions, Jenkins), Docker, Kubernetes
  • Enterprise data governance, ETL processes
  • Team management and stakeholder communication

Nice-to-have

  • Strategic planning
  • Risk management
  • Continuous improvement
  • Cross-functional collaboration

Key Requirements

  • Experience in Programming & Automation
  • MLOps Tools expertise
  • Cloud Platforms: AWS
  • DevOps Expertise
  • Data Management experience
  • Leadership Skills

Work Rights

Not specified

Tailored Resume

Cover Letter