Lead Engineer, Disciplinary Engineering and Science

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. Role Summary 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 #J-18808-Ljbffr