Machine Learning Ops Engineer

Michelin Group

Azure cloud infrastructure management
Azure kubernetes service (aks) experience
Python or groovy scripting proficiency
The role is responsible for designing and implementing secure and scalable infrastructure within the Azure cloud environment

Job Summary

  • The role is responsible for designing and implementing secure and scalable infrastructure within the Azure cloud environment.
  • Candidates will build and maintain CI/CD/CT pipelines specifically tailored for data science projects across the Azure platform.
  • The engineer must own automation efforts for infrastructure provisioning, demand forecasting, and capacity planning to ensure system reliability.

Matching Summary

The role is responsible for designing and implementing secure and scalable infrastructure within the Azure cloud environment.

Skills & Requirements

Must-have

  • Azure Cloud infrastructure management
  • Azure Kubernetes Service (AKS) experience
  • Python or Groovy scripting proficiency
  • Docker and Kubernetes containerization
  • CI/CD/CT pipeline development
  • Machine Learning Ops best practices
  • Git source code management

Nice-to-have

  • Microservices architecture knowledge
  • REST interface implementation
  • Continuous improvement mindset
  • Advanced troubleshooting skills
  • Adoption of cutting-edge technology

Key Requirements

  • Strong understanding of Machine Learning concepts
  • Hands-on experience with Docker and Kubernetes
  • Proficiency in Python or scripting languages
  • Experience with monitoring tools and alerts
  • Knowledge of Data/Model drift implementation

Work Rights

Not specified

Tailored Resume

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