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 hire, greenfield)
Builds
Cloud-based SaaS platform for automotive damage management
Domain
Automotive repair / SaaS / Cloud infrastructure
Deliverable
production ML models
Required skills
Python, SQL, cloud platforms (AWS/GCP/Azure), statistical modeling (classical and probabilistic), MLOps fundamentals, pipeline design, data acquisition, schema design, rapid prototyping
Preferred skills
Event or sequence data handling, probabilistic modeling, process mining, greenfield infrastructure setup, SaaS/automotive/insurance domain experience, agile product team collaboration
Technologies
Python, SQL, AWS, GCP, Azure, sklearn
Responsibilities
Design and build ML pipelines from scratch, calibrate models for heterogeneous customer bases, collaborate with Product and Engineering to validate hypotheses and turn insights into product decisions, handle incomplete data and shifting requirements
Seniority
Senior, hands-on IC
