Senior Data Science Engineer

Vor 4 Tagen


Berlin, Berlin, Deutschland REMATIQ Vollzeit
About REMATIQ

We are a Berlin-based startup transforming the Medtech industry by automating regulatory compliance throughout the product lifecycle. Our AI-powered platform enables our customers to focus on innovation, while we tackle a critical problem with the potential to significantly impact global health outcomes.

About the Role

We're seeking a highly skilled Lead Machine Learning Engineer to own large parts of our ML services and complete a team of 3 ML Engineers. As a key member of our team, you'll make technical decisions to optimize for speed of iteration, data quality, and model performance.

Key Responsibilities
  • Develop and maintain our core data pipelines and ML services.
  • Owning ML-based features end-to-end from prototype to delivery.
  • Balancing high-quality and performant code while shipping quickly.
  • Contributing to product strategy and roadmap planning.
  • Driving technical decisions across our ML stack.
Requirements
  • Experienced ML Engineer with strong data science and Python skills.
  • Proven track record of shipping ML-based products in fast-paced environments.
  • Ability to ship quickly and break down complex problems into small, modular solutions.
  • Exceptional problem-solving abilities and communication skills.
  • Passion for our mission and excitement about revolutionizing an old-school industry with AI.
What We Offer
  • Competitive compensation in both salary and equity.
  • Work from our office in the heart of Berlin.
  • Collaborate with top talent in software engineering, ML, and business.
  • Make a significant impact on an industry that directly affects global health.

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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