Posted 28 days ago
Expert AI/ML Data Engineer
AI Summary
Implements in-vehicle data quality checks, automation of validation drives, and data insights for Hands Off Urban Driving; builds data pipelines and ETL solutions for cloud platforms, collaborating with engineering and product teams.
About this role
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 Expert 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.
Your Role
- Implement in-vehicle data quality checks and metrics to meet functional requirement
- Implement solutions for data triaging and automation of validation drives.
- Implement, execute and incorporate in-vehicle data insights
- Implement solutions for extracting, transforming and loading to data platforms and tools
- Adapt and develop technologies related to big data
- Implement APIs, clean and organize raw and processed data
- Collaborate with cross-functional teams including engineering, product, and domain experts
- Implement data pipelines and data processing tools to meet the needs of our data science and analytics initiatives
Your Background
- MSc degree in Data Science, Robotics, Computer Science or Related
- Proficiency in applying data analytics, algorithm design, and machine learning
- Proficiency in software development using Python
- Experience in C++ or Rust, scripting and query languages (e.g., bash, SQL)
- Hands on experience in preparing data for AI/ML model development
- Knowledge of statistics and data science essentials
- Very good problem solving and debugging skills
- Good command in spoken and written English
Any of the following will be highly beneficial:
· Knowledge of cloud environments such as AWS or Azure and Docker / Containers / Kubernetes
· Experience with embedded or edge AI systems.
· Familiarity with ADAS, autonomous driving, or automotive datasets
· Experience with Git, CI/CD
· Exposure to automotive standards, safety, or validation workflows (e.g., ISO 26262 awareness)
Why Join Aptiv
You grow at Aptiv.
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.
You make an impact at Aptiv.
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.
You have support at Aptiv.
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.
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
Apply today, and together let’s change tomorrow!
#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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