ML Data Engineer (f/m/d)

Responsibilities:

• Help collect, curate, ingest and manage high quality datasets that can be used to train and validate machine learning models.
• Engage with different stakeholders to collect dataset requirements (scenarios, poses, ground truth, dataset distribution, etc.) and create recording catalogs that can be shared with data collection teams.
• Coordinate data collection campaigns with internal and external data collection teams.
• Build dashboards to monitor datasets and annotations and their distribution according to various diversity metrics.
• Use available state-of-the-art machine learning methods to generate automatic ground truth and automatic metadata tags.
• Expand our web-based data management tools to enable convenient inspection of video data and annotations to identify corner cases and incorrect predictions.
• Write high quality, well tested and efficient software in Python.
• Work in an Agile SW development team (SCRUM).

Your Background:

Required Qualifications:

• Master's degree in computer science, electrical engineering or related field.
• Strong software development skills in both C++ and Python. You have a passion for clean, well-tested, and documented code.
• Practical experience with CI/CD pipelines, MLflow, Dashboard (Grafana/Kibana).
• Fluent in English. Excellent written and verbal communication skills & good interpersonal skills.

Preferred Qualifications:

• Theoretical understanding of artificial intelligence, neural network architectures, model building and evaluation.
• Experience with ML workflow tools and related processes (e.g. MLflow, Kubeflow).
• Practical experience with Linux, version control systems (e.g. Git, DVC), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket).

Our working style includes a flexible work environment, opportunities for learning, professional growth and development in a world-recognized international environment, access to internal & external training, coaching & certifications, and recognition for innovation and excellence. We also offer opportunities to give back to the community and promote an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.