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Engineering Manager, Data Science

Bluebird · Berlin

Hybrid Senior 🇬🇧 English
Python SQL PyTorch TensorFlow HuggingFace ONNX GCP BigQuery FastAPI Docker OpenAI Claude Gemini Llama

Job description

About the role

Join a fast‑growing AI startup that is redefining AI‑search optimisation. As Engineering Manager, Data Science you will lead a small, high‑impact data‑science team, shape the technical direction, and influence the product roadmap.

Key responsibilities

  • Design, train, and deploy models powering AI search recommendations.
  • Develop novel algorithms that reverse‑engineer LLM behaviour, owning the full ML lifecycle from research to production.
  • Architect scalable data and ML systems, including pipelines, evaluation frameworks, and model serving.
  • Write and review production‑grade code while ensuring reliability and performance.
  • Mentor and grow a small data‑science team, fostering a culture of excellence.

Required profile

  • Senior data‑science leader who has owned and scaled complex ML systems from research to production.
  • Deep, first‑principles understanding of LLMs and AI search with strong systems instincts.
  • Excellent communication skills to translate technical concepts to executives and customers.
  • Experience in high‑growth startups, top‑tier tech companies, or research environments.

Required skills

  • Python
  • SQL
  • PyTorch
  • TensorFlow
  • HuggingFace
  • ONNX
  • Google Cloud Platform (GCP)
  • BigQuery
  • FastAPI
  • Docker
  • OpenAI
  • Claude
  • Gemini
  • Llama

What we offer

  • Base salary up to €150 K annually plus equity.
  • Hybrid work model with a beautiful Berlin office.
  • Opportunity to influence a category‑defining AI product.
  • Close‑knit team where your decisions move the needle.

Questions fréquentes

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Published 4 months ago

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Bluebird

Berlin