Senior Machine Learning Engineer (m/w/d)
Core
End-to-end Machine Learning lifecycle ownership for a cloud-based SaaS platform managing complex vehicle damage processes for auto repair shops.
Role type
Senior Machine Learning Engineer (hands-on IC)
Builds
Cloud-based SaaS platform for automotive damage management
Domain
Automotive / Insurance / SaaS
Deliverable
production ML models
Required skills
Python, SQL, Cloud platforms (AWS/GCP/Azure), statistical modeling, MLOps, pipeline design, feature engineering, data acquisition, schema design
Preferred skills
Event/sequence data handling, probabilistic modeling, process mining, greenfield infrastructure setup, SaaS/automotive/insurance domain experience
Technologies
Python, SQL, AWS, GCP, Azure, sklearn
Responsibilities
Design and build ML pipelines from exploratory analysis to production deployment, perform feature engineering and data modeling, collaborate on rapid prototyping and MVP delivery, calibrate models for diverse customer bases, establish MLOps foundations
Seniority
Senior, hands-on IC