Industrial AI Scientist & ML Engineer

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

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.