The PROGRESS GROUP develops and produces tailor-made complete solutions for the precast concrete industry. Six decades of experience and the distinct innovative strength make the corporate group a global market leader. In our mechanical engineering sector we develop innovative machinery for rebar processing in close cooperation with every customer.

The successful implementation of the projects is based on qualified consulting, technical know-how as well as professional installation, on‑site training and ongoing customer support. You integrate AI solutions into our machine control systems and software platforms You implement AI and machine learning solutions for edge computing and industrial applications You develop machine vision systems for use in our machines and production equipment You use 2D/3D camera systems and deep learning models for quality inspection, defect detection and image analysis Working closely with our mechanical design, electrical engineering and software development teams,

you bring AI and vision solutions into real-world industrial applications You support your developments throughout the entire lifecycle – from initial testing and commissioning to the successful handover to our customers A degree in Computer Science, Mechanical Engineering, Electrical Engineering, Mechatronics, or a comparable qualification Experience in at least one of the following areas: machine learning, AI applications, computer vision, image processing, industrial automation or software development Strong programming skills and hands‑on experience with frameworks such as PyTorch, TensorFlow or OpenCV An understanding of industrial processes or a strong interest in learning about them Good knowledge of German and English language High field service allowance No rotational or shift work Excellent training and development opportunities An interesting, varied and international working environment A success-oriented and innovative thinking team Benefits of a modern company #

Machine AI & Vision Engineer - Industrial Systems (m/f/d)

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