Job Description

Driving the future of automotive. We’re Lear For You.

Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear’s diverse team of talented employees in 38 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world. Further information about Lear is available at lear.com or on Twitter @LearCorporation.

This position can be based in Pilsen or Brno (Czech Republic), Voderady (Slovakia), Pruszków (Poland) or Skopje (North Macedonia).

Key Responsibilities

Design and implement end-to-end machine learning and deep learning solutions, covering:

Concept creation and solution design
Data collection, labeling, and preprocessing
Training and validation of machine learning (ML)
Deployment of models into production environments
Performance tracking, monitoring, and iterative fine-tuning

Collaborate closely with software engineers to integrate AI models into complex technical pipelines.
Exchange knowledge and best practices with other AI engineers to assess and improve solution quality.

Requirements

Education: BSc or MSc in Computer Science, Statistics, Mathematics, or Physics. PhD is a plus that will be considered.

Technical requirements:

Required programming languages: Python (advanced), SQL.
Optional programming languages: C#, C++, HTML, JavaScript.
Main python libraries: PyTorch, scikit-learn, OpenCV, Open3D, transformers.
Version control systems: GitHub.
IDEs: Jupyter Notebook, Visual Studio Code, PyCharm, Visual studio.
Strong mathematical skills to understand the underlying concepts of different ML and DL algorithms.
Practical expertise in the various phases of the MLOps lifecycle.
Non-technical requirements:

Fluent English.
Strong information synthesis and communication abilities.
Aptitude to collaborate in multidisciplinary, high-performance work groups.
Ability to support and mentor junior AI profiles in their professional development and growth.
Availability to travel (approximately once per quarter)