Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Sc at Baker Hughes

Florence, Tuscany, Italy -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Data Science, Software Development, Predictive Maintenance, Control Algorithms, Optimization Algorithms, Data Validation, Simulation, Robotics, Cloud Computing, Edge Computing, Programming, Statistical Analysis, Hybrid Modelling, Uncertainty Quantification

Industry

Energy Technology

Description

Are you passionate about AI applied to Design and Controls? 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 You will be instrumental in our mission to make energy safer, cleaner and more efficient through intelligent technologies. If you have Simulation and Controls background and AI experience, we would like to hear from you. As Lead AI Specialist for engineering and controls, you will be responsible for: Collaborating with multidisciplinary teams in the definition of new AI-Powered Engineering workflows for Product Optimization and Simulation (in terms of performance, manufacturability, controllability) Leading technical development of research and development projects on the combination of AI and engineering methodologies. Developing and integrating software components for AI applications according to customer and technical requirements Checking availability and relevance of internal and external data sources Proposing, and leading new data collection activities. Cleaning and validating data You will work with: AI Product Owners to define project technical goals and requirements AI Engineers to define the project software architecture and maintenance/retraining strategy Engineering Subject Matter Experts to adapt AI technology to the industry needs Fuel your passion To be successful in this role you will: Have experience in defining the technical requirements and expectations of AI solutions for engineering applications. Have deep understanding of Machine Learning and AI algorithms for regression, classification and anomaly detection tasks applied to tabular data with uncertainty quantification and explainability requirements. Have proven experience of applying AI algorithms for dynamical data sources (time series) regression, clustering, anomaly detection and uncertainty quantification. Have experience in combining models with data from different sources and hybrid modelling approaches. Have experience in defining models for 3D/Graph data types. Have proven experience with optimization algorithms (e.g. gradient based, model based, non-parametric for parametric and non-parametric inputs) and active learning. Have experience with traditional control algorithms calibration, MPC and RL. Have experience in software programming languages including Python, C++ Demonstrate working knowledge of modern agentic frameworks requirements. Proven track record of keeping up-to-date with industry trends and technology developments in the field of AI applied to Engineering. Demonstrate working knowledge of model deployment techniques and edge serving. Demonstrate working knowledge of turbomachinery thermodynamics, chemistry, rotor dynamic. Demonstrate working knowledge in databases, Test Driven Development and Agile Development methods. 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: Occasionally working remotely from home or any other work location 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 The Virtual Port This is remote role, with occasional travel to one of our local virtual ports. We want to play a role in the energy transition through the acceleration of digital transformation and the application of intelligent technologies. To make this vision a reality, we need people who are creative, curious and eager to change the world. We are convinced that freedom and diversity in ideas and experiences are the main drivers of innovation. We are a group of passionate sailors who appreciate freedom, opportunity, and risk. Our offices are like ports of call, ready to welcome our team and facilitate sharing experiences. If you share our vision, we would like to hear from you. At Baker Hughes, we are transforming the future of energy. With operations in over 120 countries, we are developing and deploying industry-leading technologies and services to take energy forward. For more than a century, our inventions have revolutionized energy. Today, we are bringing our expertise to make oil and gas safer, cleaner, and more efficient. Our people are the trusted experts, relied on to solve customer challenges big and small. 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. We believe in creating an environment of diversity and inclusion, without bias. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We're makers, inventors, and leaders who aren't afraid of the tough challenges. We believe pushing boundaries will help to lead the way for a new energy future.

Responsibilities

You will collaborate with multidisciplinary teams to define new AI-Powered Engineering workflows and lead the technical development of R&D projects. Your role will also involve developing software components for AI applications and proposing new data collection activities.