Description
Les missions du poste Description de poste At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability. Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization. Your role : As part of the AI Technology group (70 people), we are seeking an experienced cloud dataOps engineer who can contribute to the development of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions. We look for someone with a data engineering background and with strong experience on cloud platforms, specifically on AWS cloud. He/she must be passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of Data & AI software developments & integration. Our AI platform is built on top of Databricks and Azure & AWS cloud providers. Your responsibilities : About the delivery of new data oriented features in the AI platform: - Contribute to the identification and evaluation of potential external partners & tools - Contribute, potentially in collaboration with internal stakeholders, to design of new data oriented features of the AI Platform - Collaborate with data and domain experts to identify data transformation methods, tools and technologies to build platform & product offerings - Collaborate with other AI Technology teams, understand their challenges and make opinionated recommendations that empower them with data solutions - Implement data observability and monitor data pipelines in production to ensure proper operations - Write infrastructure as code and CI/CD workflows to deploy the
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