MLOps Engineer


Job Description


  • 3 experience as ML Ops/ Data Science/ Machine learning Engineer
  • Expert in building, testing, monitoring and maintaining robust large scale machine learning pipelines designed for scalability, automation and CI/CD
  • Good knowledge of at least one machine learning framework such as TensorFlow, PyTorch, Scikit-Learn
  • Strong fundamentals of Cloud(Microsoft Azure Preferred) and DevOps
  • Previous experience to engage with data engineers, data scientists and others to setup ML pipelines
  • Exposure to applications of machine learning in Healthcare with cross-functional collaboration is desired


  • Design, Build and maintain the ML Ops platform which includes operationalizing and orchestrating machine learning models, their inputs and outputs
  • Transform AI/ML code into production code via infrastructure that can perform at scale and are resilient
  • Design, deploy and maintain the full ML platform stack including capabilities such as monitoring & full model life-cycle
  • Engage with data engineers, data scientists and others to setup ML pipelines
  • Create and mature CI/CD for machine learning and AI development

Key Skills

Automation; data science; devops; Machine learning; Siemens; Infrastructure; Healthcare; microsoft azure; Deployment; Monitoring

About Company

Working at Siemens is all about curiosity, open-mindedness and inventive talent. About wanting to know more about the world we live in and finding ways to provide the world with a sustainable future. Find out more about what Siemens offers you and how to contribute your ideas and abilities on our global Jobs amp; Careers website. Please express interested here for national and international job opportunities. To express interest for the vacancy that matches your profile, please create an account and submit the requested information. Please keep yourself up to date about new job challenges by using the job alert in the job management section of your account. We are looking forward to receiving your information and thank you for your interest in joining our team!

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