Senior Machine Learning Engineer (all genders) -
Core
Own the complete ML lifecycle from exploratory analysis and model development to production pipelines and ongoing evaluation for a cloud-based SaaS platform helping automotive repair shops manage damage processes.
Role type
Senior Machine Learning Engineer (first ML hire, greenfield)
Builds
Cloud-based SaaS platform for automotive repair shops
Domain
Automotive / SaaS / Digitalization of repair workshops
Deliverable
production ML models
Required skills
Python, SQL, Cloud platforms (AWS/GCP/Azure), statistical modeling, MLOps, production model deployment, data pipeline design, feature engineering
Preferred skills
Event/sequence data handling, probabilistic modeling, process mining, building ML infrastructure in greenfield setups, SaaS/automotive/insurance domain experience
Technologies
Python, SQL, AWS, GCP, Azure, sklearn
Responsibilities
Design and build data pipelines and model evaluation tools, collaborate with Product and Engineering on rapid prototyping, calibrate models for heterogeneous customer bases, continuously improve model quality
Seniority
Senior, hands-on IC