Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape
Job Summary
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.
As a Principal MLOps Engineer, you will be the architectural visionary driving the design, scalability, and security of our enterprise machine learning infrastructure.
You will partner closely with data science and engineering teams to bridge the gap between research and production, while mentoring talent and setting the standard for engineering excellence.
Matching Summary
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.
Skills & Requirements
Must-have
MLOps and ML infrastructure expertise
AWS managed ML/AI services
Kubernetes and Docker proficiency
Python software development skills
CI/CD automation and IaC frameworks
ML model deployment and monitoring
Nice-to-have
Leadership in technical initiatives
Mentoring and engineering excellence
Cross-functional collaboration
Customer problem solving focus
Future-focused and curious culture
Key Requirements
Considerable experience in software engineering or DevOps
Dedicated experience deploying ML models at scale
Hands-on expertise with AWS SageMaker and Bedrock
Advanced skills with Kubernetes and MLFlow
Proficiency in Python and C++ or Java
Mastery of CI/CD tools and IaC frameworks
Strong understanding of ML frameworks like PyTorch and TensorFlow
Demonstrated leadership in complex technical initiatives