• 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
- Work on cutting-edge AI applied to real-world industrial challenges, leveraging • Join a highly innovative, international environment where you will own end-to-en
• 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 to work in international environments • Fluent English
Nice to have
• Experience with SQL and big data tools (e.g., Apache Spark) • Exposure to cloud platforms such as AWS, Azure, or GCP
Our client is a general 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.
• Opportunity to work on high-impact, real-world AI applications in a cutting-edge industrial domain • Strong ownership of projects with end-to-end responsibility • Collaborative and international team environment • Exposure to advanced technologies and continuous innovation • Career growth in a highly specialized and future-oriented field • Flexible working environment and modern technical stack
📌 Senior Machine Learning (Barcelona)
🏢 Michael Page
📍 Barcelona
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