AI/ML Engineer

hace 2 días

Barcelona, Barcelona, España OUTRIGO INTERNATIONAL SL A tiempo completo

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).

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