Software & applied AI engineer- Space industry- Barcelona

As a Software and Applied AI Engineer, you will develop and maintain software platforms and internal tools while designing and implementing machine learning and data-driven solutions to enable advanced analytics, enhance system performance, and drive continuous optimization.

• Development and maintenance of software platforms and internal company tools
• Design and development of applications in Python and C/C++ focused on data processing, automation, and advanced analytics
• Development of pipelines for acquisition, organization, validation, and exploitation of large volumes of test and production data
• Design, training, and validation of Machine Learning and Artificial Intelligence models applied to anomaly detection, early fault detection, event classification, predictive analysis, and system behavior analysis
• Implementation of models using PyTorch, TensorFlow, or equivalent frameworks
• Development of visualization systems, dashboards, and real-time reporting tools for technical analysis and performance tracking
• Development of test automation tools and large-scale result analysis solutions
• Statistical data processing and analysis to support validation and continuous improvement of products and processes
• Integration with production systems, internal tools, and data management platforms
• Participation in code reviews, definition of software architecture, and improvement of development best practices
• Management of repositories and collaborative workflows using Git/GitLab
• Active contribution to the improvement of team methodologies, tools, and processes

• Long-term contract
• Salary range between €45.000-55.000 according to your experience.
• Full on-site position
• Stock options.
• Company-subsidized meals

Our client is a globally recognized company with offices across the EU and the USA, specializing in satellite solutions for the telecommunications sector.

• A leading international company specializing in satellite solutions.
• You will be part of a multidisciplinary team, working on disruptive solutions.

• Degree in Computer Engineering, Telecommunications, Electronics, or similar
• A minimum of 2-3 years
• Solid experience in software development with Python
• Experience in C/C++ development
• Experience in data processing, analysis, and exploitation
• Experience in developing and training Machine Learning models
• Practical knowledge of frameworks such as PyTorch, TensorFlow, or similar
• Experience in anomaly detection, classification, fault detection, or predictive analysis
• Experience developing visualization tools, reporting, and dashboards
• Knowledge of version control tools and collaborative workflows using Git/GitLab
• Fluent level of English
• Experience working with large volumes of industrial or test data
• Knowledge of MLOps, model deployment, and maintenance
• Experience in data pipeline automation
• Experience with SQL/NoSQL databases and data analysis tools
• Knowledge of distributed architectures and real-time processing