Eurecat is the main Research & Technology Organisation in Catalonia and the second largest private research organization in southern Europe.
It brings together the experience of more than 700 professionals and provides services to more than 2,000 companies.
Applied R&D, technological services, highly specialized training, technological consultancy or valorisation and exploitation of industrial property are some of the services that Eurecat offers for both large and small and medium-sized enterprises in all sectors.
The technology centre participates in more than 200 large national and international consortium projects of high strategic R&I and has 181 patents and 10 spin-offs.
The added value provided by Eurecat accelerates innovation, reduces spending on scientific and technological infrastructures, reduces risks and provides specialized knowledge tailored to each company.
Are you ready to embark on a challenging journey of discovering and applying novel Machine Learning and AI-driven solutions in trending topics including energy optimization in microgrids with renewable energies and electric vehicle, interoperable digital twins for advanced monitoring and management of assets or novel technologies to contribute to better practices in the agricultural sector?
The Applied Artificial Intelligence Unit of EURECAT is looking for a highly motivated Data Scientist and Machine Learning engineer to help us pave the way in digitalization and development of new technologies for creating a smarter and more sustainable future.
RESPONSIBILITIESAs a valued member of our team, your role encompasses several critical dimensions:
Design and implement solutions based on mathematical algorithms and classical ML: supervised and unsupervised models, regression models, classification, clustering, dimensionality reduction, optimization, recommendation systems, time series, semi-supervised learning, etc.Design and implement solutions based on Deep Learning techniques like Recurrent Neural Networks and Autoencoders.Research innovative techniques and methods in the field of artificial intelligence to stay up-to-date with new trends.Practical application and experimentation of state-of-the-art techniques in projects and challenges to be developed.Global Impact: Collaborate on scientific publications, sharing your insights with the wider research community.Tailored Growth: We recognize your unique strengths and interests.
Your responsibilities will evolve accordingly, fostering personalized development within our team.Project Leadership: As you grow and the projects unfold, your adept project management skills will steer us toward success.WHAT EURECAT CAN OFFER YOU?Our group is specialized in applied research and development on ML and AI solutions.
The Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms, methods, platforms) based on a combination of artificial intelligence and knowledge management technologies, especially for the industrial, energy and sustainability sectors.
We have over 12 years of experience pushing the adoption of state-of-the-art AI and ML solutions for our private customers as well as for relevant European research projects!
Check out our portfolio:
Hybrid work (3 home office/2 work in the office)Flexible ScheduleShorter workday on Friday and Summer ScheduleFlexible remuneration package (health insurance, transport, lunch, studies - training and kindergarten)Eurecat workers can join the Eurecat Academy coursesEurecat workers can attend to our weekly thematic sessions to be aware of Eurecat areas of knowledge.Language's training (English, Catalan and Spanish)Please note that interviews for the selection process will continue in September. RequirementsPassion for Data Science and ML.Basic studies: Physics, Math, Energy engineering, Agronomy, Forestry engineering.Superior studies: MSc or equivalent in ML, AI, Computer Vision, or a related field.Hands-on experience with Machine Learning, Deep Learning, with a track record of applying AI techniques.Proficiency in Python and knowledge of basic libraries like Numpy, Pandas, Matplotlib, Scikit-Learn, SciPy.Knowledge of mathematical optimization and its implementation in Python with libraries like Pyomo or PuLP.Valuable knowledge in some deep learning libraries like Keras, PyTorch and Tensorflow.Open minded and multidisciplinary: Eager to learn new domains.Dynamic communication skills, allowing you to effectively convey complex ideas and collaborate with colleagues from diverse backgrounds.A readiness to travel when needed, embracing opportunities to connect with clients, partners, and collaborators worldwide.
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