AI Engineer (m/f/d)

Design and implement end‐to‐end AI pipelines for time‐series and event‐driven sensor data (e.g., pressure, temperature, current, voltage, etc.) Combine physical models with data‐driven approaches (hybrid / physics‐informed machine learning) to improve robustness and interpretability Deploy and optimize AI models on embedded and edge hardware (e.g., microcontrollers, edge gateways) Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc.) Develop and benchmark regression and classification models for state estimation, anomaly detection, and remaining useful life prediction in battery‐based systems or robotics

Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field Solid experience (3+ years) in applied machine learning ideally for sensor‐based systems, e.g. in robotics (perception, control, or monitoring) Proficiency in Python and modern ML frameworks and experience with deploying models to embedded/edge Experience with data aspects for sensor data: balancing, cleaning, labeling, handling of large continuous streams English and German Proficiency “You don't need to meet every requirement perfectly – we value passion, potential, and a growth mindset!”

At FLEXOO, you can expect more than just a job — will become part of an innovative environment where your ideas matter and your contributions are visible: You are part of a team of experts with the opportunity to shape next‐generation AI functionality in sensor‐rich systems search as battery storage solutions and robots You will closely cooperate with experts in printed electronics, embedded systems, and industrial monitoring We offer you a long‐term position with room to grow into technical leadership for AI in sensor‐based products Attractive and performance-based compensation in a future-oriented company Flexible working hours and the option to work remotely one day per week Various benefits (business lunch, free hot and cold drinks, job ticket, etc.) Regular team events Modern location in Heidelberg Bahnstadt, 10 minutes from the main train station. .