Data Scientist & ML Engineer (Applied AI for Industry)

Eurecat Centro Tecnológico de Catalunya
Barcelona, Spain
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Shift work

Tech stack

Artificial Intelligence Computer Vision Python (Programming Language) Machine Learning Large Language Models Deep Learning Generative AI Data Analytics Software Coding

Job description

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

Requirements

  • 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

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