Job Description

Responsibilities

  • Design, build, and deploy production-grade ML models for predictive analytics and condition monitoring applications across tire products and manufacturing domains, moving solutions from prototype to operational systems used by engineering teams
  • Apply physics-informed and hybrid physics-ML approaches that embed domain engineering knowledge directly into model architectures, ensuring predictions are physically consistent and trusted by engineering stakeholders
  • Develop and deploy computer vision systems for image-based inspection and classification tasks
  • Build and maintain scalable data pipelines for ingesting, processing, and serving high-frequency sensor streams from connected physical systems, supporting both real-time and batch analytics use cases
  • Implement Generative AI and LLM-based tools to enhance engineering productivity, including knowledge retrieval systems and AI-assisted workflows, with emphasis on on-pre...

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