Vice President Ml Ops Engineer

jobs.barclays

Noida, India
Lead mlops engineering team
Architect aws platforms for ml
Implement automated ml pipelines
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

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 (SageMaker, EKS, Lambda, Step Functions) for enterprise ML and GenAI workloads.
  • Lead and mentor a high‑performing ML Ops engineering team, driving ownership, skill development, and cross‑functional collaboration across Data Science, Engineering, Cloud, and Security.

Matching 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.

Skills & Requirements

Must-have

  • Lead MLOps engineering team
  • Architect AWS platforms for ML
  • Implement automated ML pipelines
  • Establish data and model governance
  • Build model observability systems
  • Drive security and operational excellence
  • Python, Bash, SQL programming

Nice-to-have

  • Align across the enterprise
  • Develop others
  • Listen and be authentic
  • Energize and inspire

Key Requirements

  • 5+ years of experience in MLOps
  • Experience with AWS SageMaker
  • Experience with CI/CD tools
  • Experience with Docker and Kubernetes

Work Rights

Not specified

Tailored Resume

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