Michelin Reifenwerke AG & Co. KGaA
Machine Learning Ops EngineerMichelin Reifenwerke AG & Co. KGaASchleswig, Schleswig-Holstein, Germany

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Michelin Reifenwerke AG & Co. KGaA

Machine Learning Ops Engineer

Michelin Reifenwerke AG & Co. KGaA
  • DE
    Schleswig, Schleswig-Holstein, Germany
  • DE
    Schleswig, Schleswig-Holstein, Germany

À propos

Machine Learning Ops Engineer

Machine Learning Ops Engineer is the one who’s responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively.

Role & Responsibilities –

  • Responsible for design and implementation of secure and scalable infrastructure in Azure cloud.
  • Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.
  • Own and automate the infrastructure provisioning, demand forecasting and capacity planning.
  • Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
  • Setting up the alerts and monitoring for the platform.
  • Monitoring system, application health, security controls and cost
  • Envision, implement and rollout best MLOPs/DevOps tools and automation.
Requirements:
  • Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices.
  • Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure.
  • Hands on experience in Python or any other scripting languages (Groovy, Shell)
  • Experience with monitoring tools.
  • Hands-on experience in Docker, Kubernetes.
  • Excellent experience with source code management tools (git)
  • Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc.
  • Experience in implementing Data/Model drift.
  • Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline.
  • Excellent Troubleshooting skills
  • Always ready to learn more and adopt new cutting-edge technology with right value proposition.
Bewerben
  • Schleswig, Schleswig-Holstein, Germany

Compétences linguistiques

  • English
Avis aux utilisateurs

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