Principal Ml Engineer

Wood Mackenzie

Not specified (assumed hybrid or remote given industry norms).
Aws sagemaker and bedrock expertise
Kubernetes and docker orchestration
Python programming proficiency
Wood Mackenzie is seeking a Principal MLOps Engineer to lead the design and implementation of scalable machine learning infrastructure. The role involves collaboration across teams to bridge the gap between machine learning research and production, while mentoring others and establishing best practices

Job Summary

  • This role serves as the architectural visionary driving the design, scalability, and security of the enterprise machine learning infrastructure.
  • The successful candidate will partner closely with data science and engineering teams to bridge the gap between research and production while mentoring talent.
  • Wood Mackenzie leverages its proprietary data and Synoptic AI to deliver interconnected views of the global energy value chain.

Matching Summary

Match Score: 85

Wood Mackenzie is seeking a Principal MLOps Engineer to lead the design and implementation of scalable machine learning infrastructure. The role involves collaboration across teams to bridge the gap between machine learning research and production, while mentoring others and establishing best practices.

Skills & Requirements

Must-have

  • AWS SageMaker and Bedrock expertise
  • Kubernetes and Docker orchestration
  • Python programming proficiency
  • CI/CD pipeline automation mastery
  • Terraform or Pulumi IaC skills
  • PyTorch and TensorFlow framework knowledge
  • Enterprise AI governance experience

Nice-to-have

  • C++ or Java high-performance coding
  • LLM optimization strategies
  • Cross-functional team leadership
  • Culture of engineering excellence
  • Data drift and concept drift monitoring

Key Requirements

  • Extensive experience in software engineering or DevOps
  • Proven track record leading complex technical initiatives
  • Deep hands-on expertise with AWS ML services
  • Advanced proficiency in containerization tools
  • Strong background in ML infrastructure at scale

Work Rights

Not specified

Tailored Resume

Cover Letter