AI Project Leader (Applied AI for Industry)
Are you interested in leading Artificial Intelligence projects that solve real industrial problems and generate measurable value for companies?
The Applied Artificial Intelligence Unit at EURECAT is looking for an experienced AI scientist and project leader to lead industrial and R&D projects involving the development, validation and deployment of advanced AI and data-driven solutions for the manufacturing sector.
We work at the intersection of advanced AI research and industrial implementation. We collaborate directly with manufacturing companies and other industrial organizations, as well as with technology centres, universities and partners within competitive national and European R&D programmes.
Our projects address challenges such as Industrial Digital Twins, process monitoring, quality prediction, anomaly detection, process optimisation, predictive maintenance, decision support, resource efficiency and increasingly autonomous industrial operations. We work with technologies ranging from Machine Learning, Deep Learning and industrial time-series analytics to surrogate modelling, physics-informed AI, Generative AI, LLMs and Agentic AI. Technology selection will always be driven by the industrial problem, available data, project constraints and expected customer value rather than by the technology itself.
This position has a strong focus on project leadership, customer value and industrial applications. We are looking for someone capable of understanding how an industrial operation works, identifying where AI can realistically create value, structure a technically and economically sound project, and leading and participating in its execution towards a successful delivery.
You will be responsible not only for defining and creating technically sound solutions, but also for ensuring that projects remain aligned with the customer’s operational needs, expected impact, scope, schedule and available resources. This requires regular interaction with industrial customers, project partners and technical teams. You will help translate operational challenges into feasible AI projects, establish priorities, manage project execution and ensure that the solutions developed provide tangible value
A strong understanding of AI and data science remains important. You should have sufficient hands-on experience to participate in technical developments, and assess technical alternatives, challenge technical decisions and understand the limitations and risks of the proposed approaches.
RESPONSABILITIES:
As part of the Applied Artificial Intelligence team, your responsibilities will include:
- Project leadership and delivery: Lead AI R&D projects for in...
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis.