Team Lead Machine Learning Operations (MLOps) (m/f/d) at SIXT Germany
München, Bayern, Germany -
Full Time


Start Date

Immediate

Expiry Date

10 Jul, 25

Salary

0.0

Posted On

06 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Technical Leadership, Interpersonal Skills, Leadership, Operations, Teams, Machine Learning

Industry

Information Technology/IT

Description

Our vision is: Transform the world moves, because people expect better. Join our Data Science organization and make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithms. For this purpose, we design, develop, and maintain our MLOps platform that is used by Data Science and further teams. Apply now and be part of our journey.

YOUR SKILLS MATTER

  • Leadership You have a strong track record in technical leadership and experience managing cross-location machine learning and/or engineering teams
  • Background You have experience leading strategic technical projects with multiple stakeholders
  • Skills You have knowledge of Machine Learning and AWS cloud technologies
  • Hands on You have ideally real-world experience in building platforms for data science and machine learning operations
  • Approach You have strong interpersonal skills and the ability to build consensus
Responsibilities
  • You lead and grow our Machine Learning Operations (MLOps) team that runs our central platform for automation of all Data Science processes and gives guidance, governance and support for deploying and operating models and algorithms efficiently and reliably in production
  • You guide the further implementation and operation of our MLOps platform
  • You collaborate closely with data scientists, machine learning and software reliability engineers, tech management and business stakeholders to understand platform requirements and translate this into a technical roadmap and team vision
  • You drive and communicate system designs within our tech teams and tech leadership
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