About this role
Role Purpose: As an AI Scientist in the global Artificial Intelligence organization, you will drive research and development of cutting-edge computer-vision technologies for next-generation energy systems. You will focus on exploring new methods in visual intelligence, developing prototypes, and transforming fundamental research into scalable solutions for automated defect detection, autonomous operation, and visual asset analysis. Responsibilities: Conduct applied research in computer vision, machine learning, and 3D perception to advance the internal R&D roadmap. Develop novel algorithms, models, and computational methods from ideation to prototype implementation. Evaluate state-of-the-art scientific literature for technology transfer into energy-sector applications. Collaborate with internal and external partners to drive CV technology application. Build experimental pipelines, conduct systematic testing, and document scientific results. Required Qualifications: University degree (Masters or PhD preferred) in Computer Science, Engineering, Mathematics, Physics, or a related field with a strong focus on computer vision or image processing. Minimum 2 years of experience in research and development of Computer Vision technologies. Deep expertise in modern CV techniques including object detection, segmentation, feature extraction, 3D reconstruction, generative models, and sensor fusion. Strong programming skills in C/C++ and Python, with experience in research frameworks like PyTorch or TensorFlow and GPU-accelerated computing. Solid mathematical background in linear algebra, optimization, and 3D geometry. Experience in scientific research environments (industry R&D, lab, or academic research). Benefits: Includes medical insurance with family floater cover, meal card options, and flexi-pay components for tax optimization. Opportunities for professional development through the Siemens Energy Learning Platform.