About
MOTOR Ai develops Level 4 autonomous systems, combining AI with multidisciplinary expertise to bring a certifiable autonomous mobility solution to European roads.
Responsibilities
•Design, build, and maintain data pipelines to prepare, transform, and deliver data for AI and machine learning use cases
•Ensure training and inference data is correctly structured, versioned, and accessible to AI Engineers and Data Scientists
•Implement monitoring and validation checks to ensure the quality, consistency, and freshness of data feeding AI systems
•Build and improve internal tooling to automate recurring data preparation and pipeline tasks
•Collaborate with AI Engineers, Perception, and Data Infrastructure teams to align on data formats, access patterns, and pipeline requirements
Requirements
•A degree in computer science, data engineering, data science, or a comparable field, or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as formal qualifications
•6+ years of experience as a Data Engineer
•Experience designing and implementing data warehouses, data lakes, and information systems, and maintaining live/production systems, including on-call and standby duty
•Strong Python and SQL skills, with solid general database knowledge
•Hands-on experience with TensorFlow and/or PyTorch, including larger-scale setups, and experience training neural networks
•Experience working with large data volumes and hybrid cloud/on-prem infrastructure setups
•Experience with data annotation and collaborating with external service providers
•Ownership mindset, pragmatic hands-on problem-solving approach, and good communication skills for close collaboration with AI Engineers, Perception, and Data Infrastructure
•Fluent English
Nice to have
•Experience in a small team with a broad scope of responsibility
•German
Conditions
•Flexible working hours
•Discounts through Corporate Benefits partners
•Subsidy for public transport tickets
•Costs of further education and training are covered
•Office location in Wedding with good public transport connections
