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Machine Learning DevOps Engineer (m/f/d)

Reference Code: DE-C-HZA-19-08038
Location(s): Herzogenaurach

Your Key Responsibilities

  • Prepare and explore big data sets
  • Select and fit statistical models and Machine / Deep Learning approaches
  • Define, support and carry out the operationalization process for analytics models
  • Develop and transform models in cooperation with Data Scientists
  • Plan and structure tools that are linked to the deployment of analytics models and components
  • Serves as a DevOps contact person for deployed models and components
  • Monitor and maintain the portfolio of operational analytics models and components
  • Cooperate with various Schaeffler divisions; combine expert knowledge with analytical approaches; improve and narrow down problem definitions and solutions
  • Use and help to shape our (cloud-based) analytics platform

Your Qualifications

  • Academic degree in computer science/information systems, information systems
  • Proficient knowledge and practical experience in the application of Machine Learning/ Deep Learning algorithms combined with solid statistics knowledge
  • Experience in Python, SPARK and packages like pandas, scikit-learn etc.
  • Practical experience in enterprise scale operationalization of ML models including deployment and monitoring tools and processes
  • Comprehensive know-how in Machine Learning / Big Data tools
  • Experience in software engineering best practices combined with excellent programming skills
  • Solid understanding of database systems (including NoSQL), SQL and ETL tools
  • Strong analytical skills and ability to focus combined with excellent communications skills as well as an agile mindset
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to getting to know you.
Please note that applications via some mobile devices may not be possible.

If you have any questions please contact:

Markus Lennartz

Schaeffler Technologies AG & Co. KG

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