Ph3Job Overview /h3pLead AI and Computer Vision Specialist – contributing to Computer Vision developments within the AI Robotics team to design, implement, and optimize AI and machine learning algorithms, develop advanced computer vision systems, and integrate them into energy systems. /ppTitle: Lead Engineer, Mathematics Data Science, Disciplinary Engineering and Science (Baker Hughes internal title). /ph3Responsibilities /h3ulliContribute to the AI and Computer Vision developments of the AI Robotics Team. /liliDesign, implement, and optimize AI and machine learning algorithms. /liliDevelop and deploy computer vision systems for robotic inspection, defect detection, knowledge management, quality control, and other critical applications. /liliIntegrate solutions into existing and new energy systems to enhance efficiency and safety. /liliCreate and implement advanced sensors to gather data for AI and robotics applications. /liliDevelop and test software components according to customer and technical requirements. /liliCollaborate to deploy AI and robotics solutions at customer sites. /liliExplore and develop new technologies and methodologies to stay ahead in the energy transformation industry. /liliWork closely with cross‑functional teams, including AI and Robotics scientists, engineers, and domain experts, to solve complex problems. /liliInitiate and execute RD projects with internal and external partners, academia, and SMEs. /li /ulh3Qualifications /h3ulliM.Sc. degree in computer science with an AI focus; Ph.D. on a relevant topic is a plus. /lili4+ years of work experience in AI, computer vision, generative models, or perception. /liliExperience applying AI and computer vision to hardware and/or robotics (plus). /liliExperience initiating and leading collaborations with academia and SMEs. /liliTechnical knowledge in computer vision, machine learning, robotics, and physical AI. /liliExperience with state‑of‑the‑art deep‑learning models and pipelines. /liliExperience handling data from diverse sensors; remote sensing data experience is a plus. /liliExperience integrating sensors on robotic platforms, including quadruped robots (plus). /liliWillingness to travel to deploy and test solutions and present results at international scientific conferences and industrial events. /liliKnowledge of software development with Python and DevOps processes such as MLOps, CI/CD, GitHub, and containerization. /liliFluency in English and Italian. /li /ulh3Benefits /h3ulliFlexible working hours with a flexible schedule to accommodate productivity. /liliOpportunities for international travel and presentation at scientific conferences. /li /ul /p #J-18808-Ljbffr