ppWe 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. /p h3Responsibilities /h3 ul liLead and support the development of new machine learning models, with an emphasis on deep learning, neural networks, and advanced algorithms. /li liCharacterize and optimize model performance metrics (e.g., accuracy, precision, recall, latency, and scalability). /li liConduct experimental testing and analysis of large datasets, feature engineering, and model architectures. /li liCollaborate with software engineers and product teams to ensure model performance aligns with end-use applications and production environments. /li liDevelop and maintain ML pipelines, data standards, and automated testing frameworks for model qualification.



/li liSupport RD projects, contributing to technical reports, publications, and presentations on AI advancements. /li liStay current with emerging AI research, frameworks, and industry standards in machine learning and data science. /li /ul h3Experience / Who You Are /h3 ul liBachelor’s degree (or higher) in Computer Science, Data Science, Mathematics, or a related field. /li liProven experience in the development and deployment of machine learning models (e.g., NLP, computer vision, or predictive analytics). /li liStrong background in statistical analysis and algorithmic characterization. /li liHands-on experience with ML testing techniques and frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). /li liAbility to design and execute data experiments, interpret complex datasets, and draw actionable conclusions. /li liProficiency in technical reporting and the ability to communicate AI results to both technical and non-technical stakeholders. /li liKnowledge of MLOps practices, model versioning, and process–data interactions. /li liFamiliarity with cloud computing platforms (AWS, Azure, GCP) or simulation tools for testing model behavior. /li liExperience with data quality systems and AI ethics/qualification frameworks (e.g., ISO standards or industry-specific regulations). /li /ul /p #J-18808-Ljbffr

📌 AI/ML Engineer (Barcelona)
🏢 Outrigo
📍 Barcelona