AI Engineer

• Adapt existing ML code for training, fine-tuning, and deployment.
• Develop and optimize fine-tuning workflows and model evaluation.
• Provision ML AWS resources and infrastructure using managed services.
• Develop ML-oriented CI/CD pipelines using GitHub Actions or similar tools.
• Deploy Machine Learning models in production and ensure observability.

A technology consulting firm in Madrid seeks a Senior AI Engineer with a strong focus on Generative AI and MLOps. In this role, you will collaborate with Data Science and R&D teams, develop robust MLOps pipelines, and manage projects from inception to completion. The ideal candidate has extensive experience with Python, PyTorch, and cloud solutions, and must demonstrate excellent customer-facing skills. Competitive training, certifications, and a supportive work environment are part of the offer., * Excellent customer-facing skills to understand and address client needs effectively.

• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS.
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock.
• Fluency in Python and hands-on production experience with PyTorch.
• Good understanding of supervised and unsupervised learning concepts.
• Fluent written and verbal communication skills in English., Cloud solution design Generative AI pipelines Python proficiency Understanding of Linux Production experience with PyTorch Understanding of machine learning concepts Fluent communication in English Ability to work independently

Educación

Bachelor's or Master's degree in AI-related fields

OpenAI SDK Docker Kubernetes ML certification (AWS ML Specialty or similar) Descripción del empleo Descripción del empleo