AI/ML Engineer

Description

We are seeking a highly motivated AI/ML Engineer to join our team in Spain. This is a permanent position offering the opportunity to work at the forefront of artificial intelligence and machine learning innovation. The successful candidate will play a key role in the development, training, and optimization of models, with a focus on enhancing algorithmic performance and predictive accuracy for demanding engineering applications. You will be part of a multidisciplinary team developing intelligent systems and automated solutions from concept through to production. This role offers long\-term career growth and the opportunity to shape the digital transformation and data\-driven strategy of innovative platforms. All applicants must be eligible to work in Spain. **Responsibilities / What you will do** * Lead and support the development of new machine learning models, with an emphasis on deep learning, neural networks, and advanced algorithms. * Characterize and optimize model performance metrics (e.g., accuracy, precision, recall, latency, and scalability). * Conduct experimental testing and analysis of large datasets, feature engineering, and model architectures. * Collaborate with software engineers and product teams to ensure model performance aligns with end\-use applications and production environments. * Develop and maintain ML pipelines, data standards, and automated testing frameworks for model qualification. * Support R\&D projects, contributing to technical reports, publications, and presentations on AI advancements. * Stay current with emerging AI research, frameworks, and industry standards in machine learning and data science. **Experience / Who you are** * Bachelor's degree (or higher) in Computer Science, Data Science, Mathematics, or a related field. * Proven experience in the development and deployment of machine learning models (e.g., NLP, computer vision, or predictive analytics). * Strong background in statistical analysis and algorithmic characterization. * Hands\-on experience with ML testing techniques and frameworks (e.g., PyTorch, TensorFlow, Scikit\-learn). * Ability to design and execute data experiments, interpret complex datasets, and draw actionable conclusions. * Proficiency in technical reporting and the ability to communicate AI results to both technical and non\-technical stakeholders. * Knowledge of MLOps practices, model versioning, and process\-data interactions. * Familiarity with cloud computing platforms (AWS, Azure, GCP) or simulation tools for testing model behavior. * Experience with data quality systems and AI ethics/qualification frameworks (e.g., ISO standards or industry\-specific regulations).