Machine Learning Engineer Data Scientist (wmd)
Job Summary
Your new team:
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
Required Experience:
IC
Key Skills
About Company
Wir sind FELD M – The Data Collective, Ihr Beratungs- und Implementierungspartner für erfolgreiche Daten-, Analyse- und AI-Projekte, die einen messbaren Mehrwert schaffen.