Summary: Seeking a Machine Learning Engineer to develop ML models with a focus on Generative AI and NLP, design data pipelines, and collaborate with cross-functional teams. Highlights: 1. Develop ML models with Generative AI and NLP focus 2. Design and implement data pipelines in cloud environments 3. Collaborate with cross-functional teams on technical solutions Aguascalientes Machine Learning Engineer **About Capgemini Group** Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50\-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. **REQUIREMENTS:** * 5\+YOE in BigData roles, Machine Learning, data models, Generative AI * Strong knowledge in Data pipelines and ETL/ELT workflows * Experience in scripting with Python \+ AI frameworks (PyTorch, TensorFlow, Keras) * NLP techniques and transformer\-based models * Cloud platforms (GCP or Azure) for scalable ML * MLOps basics (CI/CD, model deployment) * Advanced English Level * This position can be working 100% remote **RESPONSABILITIES:** * Develop machine learning models with a focus on Generative AI and NLP. * Design and implement data pipelines and workflows in cloud environments. * Collaborate with cross\-functional teams to understand business requirements and translate them into technical solutions. * Conduct data analysis and visualization to uncover trends and patterns. * Stay up to date with the latest advancements in AI, NLP, and cloud technologies. * Communicate findings and insights to both technical and non\-technical stakeholders. * Good understanding of at least one major cloud platform, such as Google Cloud Platform (GCP) or Microsoft Azure, and the ability to leverage cloud resources for scalable and efficient NLP and deep learning applications. * Proficient hands\-on expertise in AI programming languages and framework tools, including but not limited to Python, PyTorch, TensorFlow, and Keras, enabling the development of robust and high\-performance NLP models. * Ability to design, implement, and optimize distributed and parallelized algorithms for NLP and deep learning tasks, ensuring efficient processing of large\-scale data and model training. **What you will love about working with us:** * At Capgemini we’re always looking ahead. * We reimagine possibilities, and we innovate with technology to bring ideas to life. * We encourage flexibility in how, when, and where people get their work done, allowing a better work\-life balance, and greater empowerment. * They partner with their managers to find an arrangement that works best for their role and their circumstances. * We offer game\-changing programs to accelerate the growth of our people and the development of their expertise. **What you need to know about what we offer:** * Excellent compensation and benefits * Career path, trainings and real growth opportunities * Engaging and challenging projects. * Excellent work environment and culture. * Open and Effective management. * Highly professional and collaborative teams. At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position. Ref. code 397222\-en\_US Posted on 21 Jan 2026 Experience level Experienced Professionals Contract type Permanent Location Aguascalientes Business unit I and D Global Business Line Brand Capgemini Professional communities Data \& AI