Lead AI and Computer Vision Specialist M/F/D

Baker Hughes; Firenze; In loco; EUR 44.000 - 70.000; Tempo pieno

Descrizione del lavoro

Baker Hughes is seeking a Lead AI and Computer Vision Specialist to design, implement, and optimize AI and machine learning solutions for energy systems. You will develop computer vision for robotic inspection, integrate sensors, and deploy software across cloud and edge environments while collaborating with AI/Robotics teams.

The role requires a strong background in AI, CV, and deep learning, with experience in hardware/robotics a plus, and travel to customer sites.

Competenze

• M.Sc. degree in Computer Science with AI focus; Ph.D. is a plus.
• 4+ years in AI, computer vision, generative models; robotics hardware experience welcome.
• Experience leading R&D collaborations with academia and industry.
• Experience with state-of-the-art deep learning models and pipelines.
• Experience handling sensor data; remote sensing and robotics platforms a plus.
• Willingness to live in Florence or nearby; travel for deployments.
• Strong Python development and DevOps/MLOps, CI/CD, GitHub; containerization.
• Fluent in English and Italian; EU work permit.

Mansioni

• 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 and quality control.
• Integrating solutions into energy systems to enhance efficiency and safety.
• Developing sensors and data gathering components for AI/robotics applications.
• Collaborating to deploy AI/robotics solutions at customer sites.
• Advancing new technologies and methods for energy transformation.

Conoscenze

Python

Machine Learning

Computer Vision

English language

Italian language

English and Italian

DevOps

MLOps

CI/CD

GitHub

Containerization

Formazione

M.Sc. in Computer Science with AI focus

Ph.D. (relevant topic)

Strumenti

GitHub

Docker

Kubernetes

Cloud platforms

Descrizione del lavoro

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.

• 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 applications.
• Developing and testing software components according to customer and technical requirements.
• Collaborating to deploy AI and robotics solutions at customer sites.
• Exploring and developing new technologies and methodologies to stay ahead in the energy transformation industry.
• Working closely with cross-functional teams, including AI and Robotics scientists, engineers, and domain experts, to solve complex problems.
• Contributing to the initiation and execution of R&D projects with internal and external partners, academia and SMEs.

Fuel your passion

• M.Sc. degree in Computer Science with AI focus. Ph.D. on a relevant topic is considered a plus.
• 4+ years of work experience in AI, computer vision, generative models, perception. Experience with their application into hardware and/or robotics will be considered a plus.
• Experience in project execution, proactively initiating and leading collaborations with academia for the Research, Development & Innovation is a must have (e.g. within the Horizon Europe framework and similar).
• Experience in working with state-of-the-art deep learning models and pipelines.
• Experience in handling data from different types of sensors. Experience with remote sensing data, sensors integration on robotic platforms, including quadruped robots will be considered a plus.
• Availability to live in Florence or nearby, with the aim of travelling for AI and robotics solutions deployment and testing.
• Knowledge of software development with Python and DevOps Process such as MLOps, CI/CD, GitHub and demonstrate experience in containerization.
• Outstanding communication skills, with fluency both in English and Italian to present development results at international scientific conferences and industrial events.
• EU work permit.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits

For Italy: The initial pay range for this position will be EUR 43,600 To 70,000.

The provisions of Contratto Collettivo Industria Metalmeccanica e della installazione di impianti will be applied to this position. Section VI – Titolo IV of that collective bargaining agreement relates to pay.

The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Disciplinary Engineering and Science

About Us:

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us:

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.