Senior AI/ML Data Engineer

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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 s oftware development, data processing and analysis using Python ( numpy , pandas, scikit-learn, TensorFlow/ PyTorch / PyTorch Lightning) Strong e xperience in building and operating CI/CD pipelines for ML (GitHub-based ) Strong e xperience 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 E xperience with cloud services i n 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. E KS , 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) Why join us? You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Your Benefits at Aptiv: Private health care (Signal Iduna) and Life insurance for you and your beloved ones Well-Being Program that includes regular webinars, workshops, and networking events Hybrid work (min. 47 days/yr of remote work, flexible working hours) Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary) Access to sports groups and Multisport card #LI-PP1 Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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