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.

Maximice sus posibilidades de que su candidatura sea seleccionada asegurándose de que su CV y sus habilidades se ajustan al perfil.
Responsibilities

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- 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

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- 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. xhfqzwm

- Experience with data quality systems and AI ethics/qualification frameworks (e.G., ISO standards or industry-specific regulations).

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📌 Ai/Ml Engineer (Barcelona)
🏢 Outrigo
📍 Barcelona