All-sesame-jobs AI/ML EngineerAI/ML EngineerWe 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).#J-18808-Ljbffr

📌 Ai/Ml Engineer (Bellprat)
🏢 Momentum Reim
📍 Bellprat