Renowned Data Science Expert

vor 4 Wochen

Berlin, Berlin, Deutschland TEC Partners - Technical Recruitment Specialists Vollzeit
About the Role

We are searching for a renowned Lead Machine Learning Engineer to join our team in Berlin. This is a fantastic opportunity to own large parts of our Data Pipeline & ML Services, built with Python & FastAPI, while leveraging OpenAI Services from Azure.

This role requires a strong background in data science and a proven track record of shipping ML-based products in fast-paced environments. As a Lead Machine Learning Engineer, you will be responsible for making key technical decisions to optimize for speed of iteration, data quality, and model performance.

  • Develop and maintain our core data pipelines & ML services.
  • Own ML-based features end-to-end from the first prototype to the final delivery.
  • Balancing high-quality & performant code while shipping quickly.
  • Contributing to product strategy and roadmap planning.
  • Driving technical decisions across our ML stack.

What We Are Looking For:

  • Experienced ML Engineer with strong data science & Python skills.
  • Proven track record of shipping ML-based products in fast-paced environments.
  • Ability to ship quickly and breaking down complex problems into small & modular solutions.
  • Exceptional problem-solving abilities & communication skills.
  • Passion for our mission and excitement about revolutionizing an old-school industry with AI.

Why Choose Us?

  • Competitive compensation in both salary & equity.
  • Work from our office in the heart of Berlin.
  • Collaborate with top talent in software engineering, ML & business.
  • Join a small, ambitious team with real ownership and unparalleled growth opportunities.

Rematiq is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applications from all individuals, regardless of background, and are committed to fostering a workplace where everyone feels respected, valued, and supported.

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