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Eurecat Centro Tecnológico de Catalunya

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Data Scientist & ML Engineer (Applied AI for Industry)

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Summary

Data Scientist & ML Engineer in Eurecat's Applied AI unit in Barcelona, building production-ready, real-time AI solutions for industrial processes using multimodal data, GenAI/LLMs, GNNs, PINNs, and time-series models, while contributing to scientific publications. Core stack: Python, ML/DL.

Overview

In this role you will join Eurecat’s Applied Artificial Intelligence unit to advance AI-driven solutions for industrial processes. You will transform products and industries by building data-driven models and tools that run in real-time or near real-time. You will work on multimodal data, GenAI, and advanced modelling techniques to optimize control and monitoring across sectors. You will collaborate with a multidisciplinary team to publish insights and contribute to impactful, scalable AI projects. This is an opportunity to shape industrial AI capabilities at a leading European technology center.

Compensaciones / Beneficios
  • Permanent contract
  • Hybrid work model
  • Flexible working hours
  • Health insurance
  • Meal vouchers
  • Training and language courses
Responsabilidades
  • Code craftsmanship ensuring robust, production-ready solutions
  • Develop data-driven solutions across multimodal industrial data
  • Explore Generative AI and LLM-enabled workflows for industrial data
  • Model industrial contexts with GNNs and PINNs
  • Time-series analytics using RNNs and Autoencoders
  • Contribute to scientific publications and wider research community
  • Support personalized growth and project leadership as responsibilities evolve
Requisitos principales
  • MSc or equivalent experience in ML, AI, Computer Vision, or related field
  • Excellent coding skills suitable for production AI applications
  • Proficiency in Python
  • Minimum 2 years hands-on experience with ML/DL and AI techniques
  • Collaborative and growth-minded with ability to work independently and in a team
  • Open-minded and eager to learn industrial processes and details
  • Strong communication skills to convey complex ideas across diverse teams
  • Flexibility, creativity, and a drive to innovate
  • Willingness to travel to connect with clients and partners
  • Collaborative mindset
  • Strong communication
  • Creativity
  • Python
  • Machine Learning
  • Deep Learning

Skills

See also

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