AI Engineer | DevOps/MLOps | Madrid

Non classé Hybrid. Madrid city center (Sol area). 3 days a week in the office. Language: En 🆕 Nuevo hace 21 h
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Descripción del puesto

Empresa: UST
Provincia: hibrido
Población: 
Descripción: We are looking for the very Top Talent...and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35,000 employees all over the world and presence in more than 30 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. What are we looking for? We are looking for an AI Engineer with a strong software engineering and DevOps/MLOps background to join an innovative project for a leading global wealth management client. The ideal candidate will be passionate about integrating AI capabilities into enterprise platforms, driving automation, and building scalable, secure, and production-ready AI solutions within a highly collaborative environment. Location: Hybrid. Madrid city center (Sol area). 3 days a week in the office. Language: English is a must. Spanish desirable. RESPONSIBILITIES - Own the engineering and integration layer of AI capabilities into the software delivery toolchain, ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams. - Collaborate closely with AI Product Engineers and platform teams to define and scope opportunities for AI-driven innovation. - Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value. - Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness. - Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as Corporate Identity (CI)/Corporate Design (CD), observability, and developer workplace. - Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices. - Drive best practices for automation, monitoring, and reproducibility, promoting a culture of continuous improvement. YOUR PROFILE - 3-5 years of experience as a software engineer or DevOps/MLOps specialist, with a strong background in AI integration and automation. - Strong knowledge of Corporate Identity (CI)/Corporate Design (CD) pipelines, cloud environments, containerization (Docker/K8s), and APIs. - Experience integrating Machine Learning (ML) and Generative AI components into production systems, with a focus on scalability, security, and maintainability. - Security-aware and familiar with enterprise standards for tooling, ensuring the highest levels of data protection and compliance. - Comfortable working in agile and cross-functional teams, with excellent communication and collaboration skills. - Master or Bachelor in Computer Science or a related area, or proven relevant working experience. - Very good English level. What can we offer? - 23 days of Annual Leave plus the 24th and 31st of December as discretio...
Tecnologías: Generative AI, MLOps, Kubernetes, RAG, Docker, APIs,
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 3-5 años
Funciones: Inteligencia Artificial/Machine Learning - DevOps
Descubre más: https://www.tecnoempleo.com/ai-engineer-devops-mlops-madrid-ust/generative-ai-kubernetes/rf-1a971df8c2ef539cb64f

Información complementaria

Categoría
Non classé
Referencia
Fuente
Tecnoempleo Madrid
Publicado el
08/09/2026
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