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# Data Scientist & ML Engineer (Applied AI for Industry)

- **Company:** Eurecat Centro Tecnológico de Catalunya
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Python (Programming Language), Machine Learning, Large Language Models, Deep Learning, Generative AI, Data Analytics, Software Coding
- **Published:** September 13, 2026
- **Apply:** https://www.recruit.net/job/data-scientist-ml-engineer-applied-jobs/FA15CEE4486A3539

## About the Role

* 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

## 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


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