Expert, MLOps Engineer

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.

Your role :

As part of the AI Technology group (70 people), we are seeking a MLOps 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 strong data science background, who has a significant experience working on AI operational challenges, who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of AI software developments & integration.

Our AI platform is built on top of Azure & AWS cloud providers, and leverages third party tools such as Databricks solution or products from the LangChain company.

If you're excited by the opportunity to positively impact business processes through innovation and application of advanced technologies, you will feel at home.

Your main responsibilities :



* Understand, clarify and challenges the needs of our stakeholders about AI tools to be integrated into the AI platform


* Assess new third-party AI tools by identifying their value & limitations, based on the identified needs


* Contribute to the industrialization of the components of the ML & GenAI technical stack of our AI Platform, by participating to their definition, architecture, development, integration of third-party tools, test, documentation, support & maintenance phases


* Ensure the development process of this stack follows the DevSecOps recommendations & best practices


* Write ML pipelines or LLM applications examples to illustrate the AI Platform capabilities


* Contribute to the CI/CD workflows developments to automate the integration and deployment of the various assets of the platform (code or models) into the different environments


* Contribute to the definition of the MLOps/LLMOps operating models and make sure the AI Platform enforces this model


* Collaborate with our internal stakeholders to co-design the new features of the AI Platform


* Regularly be embarked into one of our internal stakeholders teams to bring support & expertise on the usage of the AI platform and AI topics and, in return, collect platform evolution needs


* Occasionally contribute to the collective effort of run & support for the AI Platform


* Contribute to the technical watch on ML & GenAI topics


* Be the data science referent of AI Technology by bringing data science expertise to other AI Technology teams when relevant.

Your profile :



* Master's / Engineer degree in computer science and/or data science


* + 5 years of experience including Data Science and MLOps or AI engineer roles


* Experiences o...