AI/ML Engineer – Berlin (Hybrid)
Salary: €70,000–€90,000 + Bonus
Hybrid: 3 days per week in our Berlin office

We are looking for an AI/ML Engineers to join a fast-growing consultancy at the forefront of applied artificial intelligence. Join a team of 30 engineers and innovators works with NGOs, Mittelstand companies, and scale-ups to create meaningful AI breakthroughs - from fast-paced MVPs to large-scale transformations.

What You’ll Do
  • Shape and deliver fast-paced AI projects that move from proof-of-concept to production-ready MVPs.
  • Build data pipelines, design and run ML workflows, and develop and deploy scalable web services.
  • Collaborate with clients to integrate solutions into their systems and drive real business impact.
  • Work across diverse sectors — from corporates and scale-ups to NGOs and the public sector.
  • Contribute to a growing, high-impact company and help shape its culture and direction.
What We’re Looking For
  • Strong experience building scalable software systems in a professional setting.
  • Hands-on experience implementing AI/ML solutions in production environments.
  • Solid technical foundation in Python and modern software engineering practices.
  • Ability to deal with ambiguity, find practical solutions, and deliver high-quality results.
  • Strong communication skills and ability to interact with clients in German (B1 level or higher).
Ideally, You Also Bring
  • Experience with data science tools (e.g. pandas, matplotlib, scikit-learn).
  • Experience working with large language models (OpenAI, Claude, etc.).
  • Knowledge of front-end development and/or Docker.
  • Experience integrating web services with SAP.
  • Willingness to travel to client sites 2–3 times per month.
What We Offer
  • Opportunity to do the best work of your career with autonomy and real impact.
  • Challenging and meaningful AI projects with room for growth and experimentation.
  • Professional yet flexible environment built on trust, collaboration, and curiosity.
  • Family-friendly policies, flexible hours, and commitment to diversity and inclusion.
  • Equal opportunities and active support for women in tech through mentorship and leadership programs.