
Machine Learning Engineer, Data Scientist
FELD M
full-time
Posted on:
Location Type: Remote
Location: Germany
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About the role
- Design and build end-to-end data and machine learning solutions that help clients turn data into real business impact
- Work closely with Data Engineers, BI experts, and Data Scientists
- Consult 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
- Ensure high code quality through testing, debugging and best engineering practices
- Collaborate in agile, cross-functional teams
Requirements
- Degree or background in Data Science, Computer Science, Statistics or a related field
- Around 2–3 years of experience in machine learning and data science; familiarity with LLMs and agentic architectures
- Proficient in Python, SQL and Linux / Shell environments
- 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
- Strong German language skills and ability to commute to our Munich office are a plus
Benefits
- 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)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata sciencedata pipelinesdata modelscloud-based data architecturesPythonSQLLinuxLLMsagentic architectures
Soft Skills
analytical thinkinghands-on engineering mindsetcollaborative personalitystrong communication skills