Pracuj.pl Hybrydowo Senior

Senior AI/ML Data Engineer

Aptiv

⚲ Kraków, Podgórze

Do uzgodnienia

Wymagania

  • Python
  • C++
  • Rust
  • TensorFlow
  • PyTorch
  • scikit-learn
  • GitHub
  • AWS
  • Azure
  • pandas
  • numpy
  • Terraform
  • Airflow
  • MLflow

Opis stanowiska

Nasze wymagania:
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

Mile widziane:
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)

O projekcie:
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.

Zakres obowiązków:
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

Oferujemy:
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

🔍 Dekoder Ogłoszenia

🟡
Proficiency in software development, data processing and analysis using Python (numpy, pandas, scikit-learn, TensorFlow/PyTorch/PyTorch Lightning)
Oczekuje się biegłości w tworzeniu oprogramowania i analizie danych, a nie tylko podstawowej znajomości bibliotek.
🔴
Strong experience in building and operating CI/CD pipelines for ML (GitHub-based)
Może oznaczać zarówno tworzenie od podstaw, jak i utrzymywanie istniejących, potencjalnie skomplikowanych pipeline'ów.
🔴
Hands on experience in preparing data for AI/ML model development
Podkreśla praktyczne zaangażowanie w proces przygotowania danych, co często bywa czasochłonne i powtarzalne.
🔴
Experience in a second programming language like C++ or Rust
Wymaga znajomości innego języka, co może być znaczącym dodatkowym obciążeniem, jeśli kandydat nie ma z nim doświadczenia.
🟡
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)
Wymaga praktycznego doświadczenia w środowisku produkcyjnym, a nie tylko teoretycznej wiedzy o usługach chmurowych.