Vice President Ml Ops Engineer

Barclays

Noida, India
Not specified; not specified; not specified
Aws sagemaker and bedrock architecture
Python bash sql programming
Mlflow kubeflow pipeline implementation
This role is responsible for leading the design and governance of enterprise-grade ML Ops frameworks to enable scalable and secure deployment of AI models

Job Summary

  • This role is responsible for leading the design and governance of enterprise-grade ML Ops frameworks to enable scalable and secure deployment of AI models.
  • The successful candidate will architect cost-optimized AWS platforms using services like SageMaker, Lambda, and Step Functions for GenAI workloads.
  • Candidates must demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship while managing risk and strengthening controls.

Matching Summary

This role is responsible for leading the design and governance of enterprise-grade ML Ops frameworks to enable scalable and secure deployment of AI models.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • AWS SageMaker and Bedrock architecture
  • Python Bash SQL programming
  • MLflow Kubeflow pipeline implementation
  • CI/CD Docker Kubernetes expertise
  • Model observability and monitoring systems
  • Data governance and regulatory compliance

Nice-to-have

  • Strategic planning and team leadership
  • Cross-functional collaboration skills
  • Risk management and control agenda
  • Influencing and negotiating abilities
  • Generative AI model deployment experience

Key Requirements

  • Vice President level experience
  • Leadership of high-performing engineering teams
  • Expertise in AWS cloud infrastructure
  • Strong background in data governance
  • Experience with US-based stakeholder overlap

Work Rights

Not specified

Tailored Resume

Cover Letter