¿Dónde vas a trabajar?

Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.

Our client is a global technology leader specializing in advanced diagnostic and inspection solutions for critical infrastructure within the energy sector. With a strong focus on innovation and R&D;, the company combines cutting-edge sensing technologies and AI-driven analytics to deliver predictive insights that improve asset integrity, operational efficiency, and environmental sustainability.

¿Qué harás en tu reciente puesto?
- Design and develop machine learning and deep learning models for pattern recognition in complex datasets (signals and images)
- Lead end-to-end ML projects, from data acquisition and preprocessing to model deployment in production environments
- Analyze and interpret ultrasonic and sensor data to generate optimal features and representations
- Conduct research and experimentation to improve model performance and scalability
- Collaborate with cross-functional teams to translate business needs into technical solutions




- Ensure high-quality code through best practices, testing, and peer reviews
- Document solutions and support knowledge sharing within the team
- Mentor junior team members and contribute to technical excellence

¿A quién buscamos (H/M/D)?
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (PhD is a plus)
- +5 years of hands-on experience in Machine Learning, with a strong focus on Deep Learning
- Proven experience delivering ML solutions end-to-end, from data preparation to production
- Strong background in computer vision tasks such as image recognition and object detection
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
- Experience with experiment tracking tools (e.g., MLflow, Weights & Biases)
- Solid analytical mindset with the ability to work on complex, non-standard datasets
- Strong communication skills and ability

📌 Senior Machine Learning (Barcelona)
🏢 Michael Page
📍 Barcelona