Job Summary: We are seeking a GenAI/Machine Learning Software Engineer to design, build, train, evaluate, version, and integrate AI models into a service platform. Key Highlights: 1. Development of ML/Deep Learning, Computer Vision, and LLM models. 2. Building training and inference pipelines. 3. Attractive career path and training in technological competencies. **Company Description** Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strives daily to deliver digital impact for businesses, public sector entities, and society. Inetum’s solutions aim to enhance customer performance and innovation, as well as the common good. Present in 19 countries with an extensive network of centers, Inetum partners with leading software vendors to address digital transformation challenges with proximity and flexibility. **Job Description** At Inetum, we are looking to hire a GenAI/Machine Learning Software Engineer to join a project team serving one of our most strategic clients, based at our Madrid office. **Objective:** Design, build, train, evaluate, version, and integrate AI (classical and generative) models within a service platform. **Main Responsibilities** * Develop ML/Deep Learning, Computer Vision, and LLM models. * Build training and inference pipelines. * Optimize and deploy models. * Integrate with APIs and microservices. **Requirements** We require the following qualifications: * Completed university degree (not necessarily in GenAI). * Demonstrable experience in AI and/or GenAI, minimum 2–3 years. * Advanced Python. * Solid knowledge of LLMs, embeddings, RAG, and agents. On-premise systems knowledge is desirable. * Knowledge of distributed systems and APIs. * Desirable: Frontend (Angular) and Backend (.NET) knowledge, Jira, Git. Are you the person we’re looking for? Apply to this position and submit your complete profile. We look forward to welcoming you! **Additional Information** WHAT DO WE OFFER? * Permanent contract. * Flexible working hours. * Career path: We offer an attractive professional career path based on your experience and personal potential within a continuously evolving company with solid growth. * Training plan in technological competencies aligned with project and client requirements. * Flexible compensation: We offer a customizable compensation package, allowing you to choose among various benefits and tailor their distribution: health insurance, meal vouchers, childcare support, transport card, etc.