Senior Machine Learning

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy deep learning models for complex pattern recognition problems in industrial inspection data. You will take ownership of projects end-to-end, from data preparation and model development to production deployment, working closely with cross-functional teams.

• 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

• 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

• Experience with SQL and big data tools (e.g., Apache Spark)
• Exposure to cloud platforms such as AWS, Azure, or GCP

• 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

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.

• 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