AIML Engineer

Driving the future of automotive. Were Lear For You.

Lear a global automotive technology leader in Seating and E-Systems enables superior in-vehicle experiences for consumers around the world. Lears 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 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)