Expert AI/ML Data Engineer

Description

You will join the AI/ML Data Engineering team in Krakow to build data processing solutions for advanced automotive technology.

You will design algorithms and automated pipelines that process large volumes of sensor data, such as LiDAR and camera feeds.

You will work with cloud platforms and machine learning tools to turn raw data into high-quality datasets for training and improving AI/ML models.

Your work will feed into reliable perception systems and advanced driver assistance technology.

Responsibilities

• Build and maintain automated pipelines that extract, transform and load AI/ML data into cloud platforms and tools.
• Design and implement processing algorithms and tools for large datasets collected from LiDAR, cameras and other automotive sensors.
• Write and improve Python solutions for data processing, analysis and integration with machine learning workflows.
• Create data quality metrics, validation methods and automated checks that keep datasets accurate and reliable.
• Prepare, enrich and analyse training and ground truth data to support model development.
• Build and maintain APIs and data tools that organise, clean and manage raw and processed datasets.
• Work with engineering and AI/ML teams to make data processing faster, streamline workflows and help deploy solutions in the cloud.

Requirements

• A Bachelor's or Master's degree in Data Science, Computer Science, Robotics, Engineering or a related technical field.
• Strong Python skills, including solid software development principles and algorithm design.
• A working understanding of data analytics, machine learning concepts, statistical methods and data science fundamentals.
• Knowledge of C++ and experience with data processing algorithms.
• Bash and SQL are an advantage.
• Knowledge of AWS or Azure, plus Docker and Kubernetes, is a plus.
• Experience with large datasets, particularly LiDAR or camera sensor data, is an advantage.

Conditions

Hybrid working with flexible hours, in line with company policy.

The company is global and welcomes people from every background.

Benefits

• Private health care and life insurance covering you and your loved ones.
• A well-being programme with regular webinars, workshops and networking events.
• Employee pension plan with an extra employer contribution of 3.5% of gross salary.
• Access to sports groups and a Multisport card.