Machine Learning Engineer - Talent Pool (m/f/d)
Core
Scoping, implementing, and driving machine learning projects from ideation to production for B2B clients across industries like automotive, manufacturing, and healthcare.
Role type
Machine Learning Engineer
Builds
Production-ready AI solutions and internal AI stack components
Domain
B2B AI solutions for automotive, manufacturing, retail, and healthcare
Deliverable
production ML models
Required skills
Python, Deep Learning, PyTorch, Cloud platforms (GCP/AWS/Azure), Time series analysis, Computer Vision, NLP, Graph Neural Networks, Reinforcement Learning, Causal Inference, Software engineering best practices
Preferred skills
MSc or PhD in CS/ML, German language proficiency
Technologies
PyTorch, Google Cloud Platform, AWS, Azure
Responsibilities
Scoping ML projects and assessing technical feasibility via client interaction; Implementing ML methods on real-world use cases; Contributing to internal AI stack and open source ecosystem; Collaborating with data, backend, and frontend engineers; Driving projects from ideation to production
Seniority
Senior, hands-on IC
