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Aptiv is seeking an AI/ML Data Engineer in Krakow to shape in-vehicle data quality checks and automation for validation drives, and to deliver in-vehicle data insights for Hands Off Urban Driving solutions.
We value strong data analytics, Python development, and collaboration with engineering and product teams to extract meaningful insights from large automotive datasets. This role partners with Aptiv's embedded driver assistance initiatives and cloud data pipelines.
At APTIV we shape the future of mobility: we design, develop, and validate systems to improve safety and comfort in vehicles. For our engineering center in Krakow, Poland, we are currently seeking AI/ML Data Engineer to work on in-vehicle data quality checks, automation of validation drives and in-vehicle data insights for Hands Off Urban Driving solution.
This role combines data experience with hands-on data engineering skills and supports development solutions for extracting, transforming, and loading data into cloud platforms and tools.
Join us at this exciting moment in the Innovation Engineering group 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.
Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.
One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.
We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.
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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.