Expert AI/ML Data Engineer
Коротко
Implements in-vehicle data quality checks, data triaging, and ETL pipelines for cloud platforms supporting Hands Off Urban Driving solutions. · Needs: MSc in Data Science, Robotics, CS or related; Python; C++ or Rust; SQL/bash; experience preparing data for AI/ML; English.
Описание от работодателя
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!
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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.