Data Scientist & ML Engineer (Applied AI for Industry)
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Role details
Tech stack
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
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Willingness to travel to connect with clients and partners
- Collaborative mindset
- Strong communication
- Creativity
- Python
- Machine Learning
- Deep Learning
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