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Machine Learning Engineer / Data Scientist (w/m/d)

Remote, Berlin, Hamburg, Munich
Full or part-time
Permanent employee

Your new team:

In our Data Product Team at FELD M you will design and build end-to-end data and machine learning solutions that help our clients turn data into real business impact.
You will work closely with Data Engineers, BI experts and Data Scientists and contribute along the entire data value chain – from idea to production.

What awaits you:

  • Consult our customers on best practices and strategies to use AI and bring machine learning solutions into production

  • Build and improve data pipelines, data models and machine learning solutions

  • Develop scalable cloud-based data architectures

  • Support the development and productionization of ML models

  • Work with modern tools and technologies in the Python & cloud data ecosystem

  • Ensure high code quality through testing, debugging and best engineering practices

  • Collaborate in agile, cross-functional teams

What you can expect:

  • Flexible work: Remote-first with a base in Munich

  • Shared leadership: Responsibility from day one, no rigid hierarchies

  • Personal growth: Coaching, learning opportunities and exposure to diverse projects

  • Great team culture: International, inclusive and collaborative

  • Top equipment: Choose your preferred setup (macOS, Linux or Windows)

What you bring along:

  • Background in Data Science, Computer Science, Statistics or similar

  • (2-3 years of) Experience in machine learning and data science as well as familiarity with LLMs and Agentic Architecture

  • Experience with Python, SQL and Linux / Shell

  • Curiosity for modern data tools (e.g. Databricks, Airflow, Kafka, Spark, TensorFlow, AWS / Azure / GCP)

  • Analytical thinking and a hands-on engineering mindset

  • Open, collaborative personality and strong communication skills

  • Great German skills & ability to come to our Munich office are a plus!

We look forward to hearing from you!
Valerii, Philipp & Jessi + the whole Data Product Team