Senior MLOps Engineer

Munich, Germany

RESPONSIBILTIES:

  • Create and manage MLOps pipelines to facilitate ML model testing, validation, and monitoring during development and production, as well as continuous integration and deployment (CI/CD).
  • Put strategies in place to automate the entire ML model creation process from start to finish.
  • Make constant improvements to the MLOps workflows’ efficiency by utilising industry best practices, cutting-edge tools, and benchmarks.
  • Work together with interdisciplinary AI/ML teams to determine the needs for their ML workflows and then integrate them into the MLOps system.

QUALIFICATIONS:

  • Bachelor’s degree in computer science or comparable practical experience
  • 4 years of industry experience in MLOps or data management for ML workflows
  • Demonstrated experience with MLOps and cloud machine-learning platforms like SageMaker, DataBricks
  • Proficient in Big Data technologies like Kafka, Apache Spark, Hadoop, databases (SQL and NoSQL), cloud computing platforms like AWS, Programming Languages Java, Python

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    Advertised By:

    Joe Kemp
    Director & Head of Global Technology

    Email Consultant
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