Our Artificial
Energy Transformation
LeadAIandComputerVisionspecialist
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead AI and Computer Vision specialist at Our Artificial. Skills: AI, Computer Vision, Machine Learning, Robotics. Contribute to AI developments. Contribute to Computer Vision developments”
What You'll Achieve.
Make energy products more efficient; Make energy products more reliable; Make energy products safer; Make energy products more sustainable
Industry & Context.
Solve complex problems
International travel, Willingness to travel
What They're Looking For.
Must Have
M. Sc. degree in computer science, 4+ years of work experience in AI, 4+ years of work experience in computer vision, 4+ years of work experience in generative models, 4+ years of work experience in perception, Experience in initiating collaborations, Experience in leading collaborations, Experience with state-of-the-art deep learning models, Experience with state-of-the-art deep learning pipelines, Experience in handling data from sensors, Knowledge of software development with Python, Knowledge of DevOps Process, Experience in containerisation, Fluent in English, Fluent in Italian
Nice to Have
Ph. D. on a relevant topic, Experience with AI application into hardware, Experience with AI application into robotics, Robotics technical knowledge, Physical AI technical knowledge, Experience with integrating sensors on robotic platforms, Experience with remote sensing data, Experience with integrating sensors on quadruped robots
What You'll Do.
Contribute to AI developments
Contribute to Computer Vision developments
Design machine learning algorithms
Implement AI algorithms
Implement machine learning algorithms
Optimize AI algorithms
Optimize machine learning algorithms
Develop computer vision systems
Deploy computer vision systems
Integrate solutions into energy systems
Create advanced sensors
Implement advanced sensors
Develop software components
Test software components
Collaborate to deploy solutions
Explore new technologies
Develop new methodologies
Work closely with teams
Solve complex problems
Contribute to R&D projects
How You'll Work.
Team & Collaboration
Multidisciplinary teams; Cross-functional teams; AI scientists; Robotics scientists; Engineers; Domain experts; Internal partners; External partners; Academia; SMEs
Communication Scope
Present development results
Process & Methodology
R&D projects
Full Job Description
**Are you passionate about AI?** **Do you enjoy collaborating with multidisciplinary teams to solve complex problems?** **Join our Artificial Intelligence & Development team** Our team provides industry-leading products and services that optimize the production and processing of energy. You will contribute to our future as an AI player in the Energy Transformation industry. We implement and adapt AI algorithms across a broad variety of projects. These include predictive maintenance and defect detection, control and robotics, design optimization and simulation, unmanned inspections and many others. Our team deploys production-ready code in Cloud and Edge environments to make energy products more efficient, reliable, safe and sustainable. **Partner with the best** As Lead AI and Computer Vision Specialist , your role involves contributing to the Computer Vision developments within the AI Robotics team.You will design, implement, and optimize AI and machine learning algorithms, develop and deploy advanced computer vision systems for smart inspection and knowledge management, and integrate them into solutions for energy systems, including physical AI and robotics. The role requires also creating and implementing advanced sensors, developing software components, and collaborating with cross-functional teams to deploy physical AI and robotics solutions at customer sites, which may involve international travel. As Lead AI and Computer Vision specialist, you will be responsible for: * Contributing to the AI and Computer Vision developments of the AI Robotics Team * Designing, implementing, and optimizing AI and machine learning algorithms * Developing and deploying computer vision systems for robotic inspection, defect detection, knowledge management, quality control, and other critical applications. * Integrating solutions into existing and new energy systems to enhance efficiency and safety. * Creating and implementing advanced sensors to gather data for AI and robotics a
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