Data Scientist & ML Engineer (Applied AI for Industry)

Eurecat is one of Europes leading technology centers for accelerating innovation in companies. 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 2000 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 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid Malaga and Chile.

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 900 professionals and provides services to more than 2000 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.

Job description

Are you ready to embark on a challenging journey of discovering and applying novel Machine Learning and AI-driven solutions in process monitoring control and optimization for products in different industrial sectors

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 transforming products and industries to create a smarter more sustainable future.
Whether its algorithms or data analytics were here to revolutionize the industrial sector.
Enriching product functionalities by developing cutting edge data driven solutions
Industrial Control Systems: from single automation devices to complex machines were exploring AI-based approaches across various levels of industrial control systems: Computer vision Sensor fusion model predictive control self-optimizing processes surrogate modelling LLM Agentic AI etc.
Collaboration: Join our multidisciplinary team. Learn grow and contribute. Be part of the ML-driven industrial revolution

RESPONSABILITIES

As a valued member of our team your role encompasses several critical dimensions:
Code Craftsmanship: Your code will be the bedrock of our innovations. Rigorous validation and refinement ensure optimal efficiency and ready-to market solutions
Innovative Solutions: Youll delve into the intricate world of data-driven solutions harnessing the power of multimodal data across industrial contexts.
GenAI: Large Language Models are changing the way we interact with data driven solutions be part of the Agents era for industrial applications
Modelling industrial settings require novel approaches. Be ready to work with GNNs and PINNs
TimeSeries analytics: Expect to wield advanced tools like Recurrent Neural Networks and Autoencoders.
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.

WORKING ENVIRONMENT AND BENEFITS:

This position is located either in Barcelona (Poblenou) or in Cerdanyola del Vallès near Barcelona (Spain). Besides being well connected to the rest of Europe Barcelona area offers an excellent quality of life and a vibrant technology ecosystem with leading research centres innovative companies active communities and a wide range of events and networking opportunities.

Additionally we offer:

• Permanent contract.
• Hybrid work model (home office and office-based work).
• Flexible working hours shorter Fridays and intensive summer working schedules.
• Flexible remuneration package (health insurance transport meal vouchers training and childcare).
• Professional development through Eurecat Academy courses weekly knowledge-sharing sessions and language training (English Catalan and Spanish).

Academic Background

Computer Engineering Telecommunications Physics Mathematics Industrial Engineering Statistics Chemistry Agronomy or similar.
Desirable studies or specialization (Masters Postgraduate or PhD) in Data Science AI Deep Learning Reinforcement Learning or similar.

Required Skills and Experience

A passion for DataScience and ML backed by an MSc or equivalent experience in ML AI Computer Vision or a related field.
Excellent coding skills. Your code will be used in ready-to-market AI applications.
Proficiency in Python.
At least 2 years of hands-on experience with Machine Learning Deep Learning with a track record of applying AI techniques.

A collaborative and growing mindset coupled with the ability to thrive both independently and as part of a team.

Open minded: Eager to learn new domains: how the industrial processes work and its fine details.

Dynamic communication skills allowing you to effectively convey complex ideas and collaborate with colleagues from diverse backgrounds.
Flexibility creativity and a relentless drive to innovate.
Critical thinking.

A readiness to travel when needed embracing opportunities to connect with clients partners and collaborators worldwide.