Data Scientist & Ml Engineer (Applied Ai For Industry)

Eurecat Centro Tecnológico De Catalunya; Madrid; Híbrido; EUR 40.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Health insurance

Meal vouchers

Training and language courses

Travel opportunities

Descripción de la vacante

Eurecat is seeking a Data Scientist & ML Engineer (Applied AI for Industry) to advance AI-driven solutions in process monitoring and optimization across industrial sectors. You will contribute to cutting-edge ML, analytics, and software engineering to deliver scalable AI applications.

Based in Madrid with a hybrid work model, you will collaborate with a multidisciplinary team, publish research, and guide projects from concept to production using Python and state-of-the-art AI techniques.

Formación

• MSc or equivalent in ML/AI, CS, or related field.
• Proven Python coding and ML/DL implementation experience.
• Experience with Computer Vision and AI in industry.
• Willingness to travel and collaborate with diverse teams.

Responsabilidades

• Code craftsmanship for ready-to-market AI applications.
• Develop data-driven solutions using multimodal data.
• Explore GenAI and agents for industrial use.
• Work with GNNs and PINNs on industrial settings.
• TimeSeries analytics with RNNs/Autoencoders.
• Collaborate on publications and knowledge sharing.
• Project leadership as projects unfold.
• Tailored growth within the team.

Conocimientos

Python

Machine Learning

Deep Learning

Team Collaboration

Educación

MSc in Data Science or related field

Master's/PhD in Data Science or AI

Herramientas

PyTorch

TensorFlow

Descripción del empleo

EURECATEurecat is one of Europe's 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 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I 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.

Job descriptionJob 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 it’s algorithms or data analytics, we’re 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, we’re 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

• 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: You’ll 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.
• 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).

Requirements

• Academic Background Computer Engineering, Telecommunications, Physics, Mathematics, Industrial Engineering, Statistics, Chemistry, Agronomy, or similar.
• Desirable studies or specialization (Master’s, 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.

Job: Data ScientistDepartment: Applied Artificial IntelligenceLocation: Barcelona (Spain)Sector: Internet and technologyVacancies: 1Discipline: R&DWork modality: Hybrid

Data Scientist & ML Engineer (Applied AI for Industry) Madrid, Spain