DATA SCIENTIST AND MACHINE LEARNING ENGINEER - ENERGY AND FOOD

EURECAT Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern Europe.
It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than companies.
Eurecat integrates advanced digital capabilities and experience in biotechnology industry and sustainability and collaborates with industry in RDI activities and projects offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors accelerating innovation reducing both risks and spendings on scientific and technological infrastructures.
The technology center participates in more than 200 large national and international consortium projects of high strategic R&I has 230 patents and 10 spinoffs.
Eurecat has eleven centers in Catalonia and presence in Madrid Malaga and Chile.
Job description Are you ready to embark on a challenging journey of discovering and applying novel Machine Learning and AIdriven 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.
RESPONSABILITIES As 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 semisupervised 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 uptodate with new trends.
Practical application and experimentation of stateoftheart 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 stateoftheart AI and ML solutions for our private customers as well as for relevant European research projects! Check out our portfolio.
Applied Artificial Intelligence Eurecat (appliedartificialintelligenceeurecat.
ithub) Applied Artificial Intelligence Eurecat Technological Centre And Permanent contract Hybrid work 3 home office/2 work in the office) Flexible Schedule Shorter workday on Friday and Summer Schedule Flexible remuneration package (health insurance transport lunch studies training and kindergarten) Eurecat workers can join the Eurecat Academy courses Eurecat workers can attend to our weekly thematic sessions to be aware of Eurecat areas of knowledge.
Languages training (English Catalan and Spanish) Please note that interviews for the selection process will continue in September.
Requirements Passion for DataScience 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.
Handson 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 ScikitLearn 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.
Languages.
English Catalan Spanish