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. MLOps Engineer We are looking for a highly capable MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects.
Any state of Mexico Requirements 5 years of overall experience in Data Analytics. 3 years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement. Sharp critical thinking skills and ability to learn and question complex processes and solutions.
Experience building scalable machine learning systems and data-driven products working with cross-functional teams. Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. Proficiency in Python and experience with common data analytics packages (e.g.
Numpy, Pandas, Sklearn, PySpark). Proficiency in SQL. Good communication skills and the ability to understand and synthesize req
¿Te interesa este puesto?