Machine Learning Consultant

Framen GmbH
Berlin, Germany
3 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 50K

Job location

Berlin, Germany

Tech stack

Artificial Intelligence
Python
Machine Learning
NumPy
PyTorch
Information Technology

Job description

  • Develop the mathematical logic and optimization methods behind our machine learning models, providing the conceptual blueprint that the engineering team implements.
  • Assess models in development for structural or mathematical weaknesses and recommend improvements.
  • Lead in-person working sessions that translate complex algorithmic concepts into clear, actionable logic the engineering team can build on.
  • Follow relevant developments in AI research, evaluate their mathematical foundations, and advise how new methods could strengthen our products.

Requirements

  • A strong theoretical foundation in machine learning, ideally supported by an advanced degree in Mathematics, Statistics, Physics, Computer Science or a related field.
  • Deep knowledge of linear algebra, probability and optimisation.
  • The ability to communicate complex mathematical concepts clearly to engineers and other technical colleagues.
  • Working proficiency in Python (e.g. NumPy, PyTorch, JAX) to prototype and share your ideas.
  • A collaborative approach and enjoyment of solving problems together with the team in person.
  • A collaborative approach and a readiness to work on-site at FRAMEN's Berlin headquarters, where the consultancy project will be delivered and rolled out.

Benefits & conditions

  • Compensation of €4,166 per month for the 20 consultancy hours per week.
  • Be part of a well-funded, ambitious start-up with a motivated and fast-growing team, united by the goal of making FRAMEN the most innovative out-of-home advertising company and a market leader across multiple segments.
  • Trust is one of our core values: you'll be given independence and responsibility from day one.

Apply for this position