Senior AI/ML Data Engineer

At APTIV we shape the future of mobility: we design, develop, and validate systems to improve safety and comfort in vehicles. We are currently looking for candidates to join our data team in the Innovation Engineering group for Hands Off Urban Driving.  

This role combines strong data expertise with hands-on data engineering skills, covering the full lifecycle: from data ingestion and processing, through data insights, to deployment within scalable AWS-based environments. 

Join us at this exciting moment and take part in the design of a big data system fed and tightly interacting with Aptiv cutting-edge embedded driver assistance and user experience solutions.  

Your Role  

• Design and implement solutions for extracting, transforming and loading data in our cloud data platform 

• Design and implement data quality metrics, clean and organize raw and processed data 

• Implement data pipelines and data processing tools to meet the needs of our data science and analytics initiatives 

• Work with our perception, mapping, behavior and user monitoring experts to streamline and accelerate ML development for next gen systems 

• Integrate data sources and optimize data flow 

• Stay up to date with latest technical concepts, assess their potential and apply to improve our solutions 

• Collaborate with cross-functional teams including engineering, product, and domain experts 

• Document methodologies, assumptions, and outcomes clearly 

Your Background  

• MSc degree + 4 years of relevant experience in Data Science, Robotics, Computer Science or Related  

• Proficiency in software development, data processing and analysis using Python (numpy, pandas, scikit-learn, TensorFlow/PyTorch/PyTorch Lightning) 

• Strong experience in building and operating CI/CD pipelines for ML (GitHub-based) 

• Strong experience in big data systems, in particular designing and implementing ETL pipelines 

• Hands on experience in preparing data for AI/ML model development 

• Experience in a second programming language like C++ or Rust 

• Experience with cloud services in and at least one of the cloud environments such as AWS, or Azure in a production setup (e.g. AWS Lambda, S3) 

• Experience in design, development, and optimalization of database solutions supporting ML workloads 

• Excellent problem solving, debugging skills and critical thinking mindset 

• Strong communication skills with ability to explain technical concepts clearly 

• Fluent command in spoken and written English  

Any of the following will be highly beneficial:   

• Deep knowledge of AWS cloud infrastructure (e.g. EKS, IoT Core, Terraform) 

• Knowledge with MLOps tools (e.g. Airflow, MLflow) or workflow orchestration 

• Experience in robotic systems: perception, localization, planning, control 

• Knowledge of urban driving edge cases and sensor-heavy ML systems 

• Past experience with L2/L2+/L2++ ADAS or autonomous driving programs 

• Exposure to automotive standards, safety, or validation workflows (e.g., ISO 26262 awareness)