Job Profile

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.

As part of the AI Technology group (70 people), we are seeking an 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

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

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 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 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 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 topics

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

Requirements and Skills

· Technical skills:

· Minimum 5 years of experience as AI engineer

· First experiences as data scientist

· Previous experiences as MLOps engineer or AI engineer are required

· Past experiences of deploying ML applications up to production are required

· Past experiences of operating ML applications in production are required

· Strong academic knowledge in the domain of ML & data science

· Very good knowledge of MLOps practices

· Master DevOps tools & processes : CI/CD, GitHub, GitHub actions

· Master Python programming language

· Master Azure AI Services (Azure ML Services) or AWS AI Services (AWS SageMaker)

· Good general knowledge of at least one of the following cloud service providers stacks : Azure or AWS

· Knowledge of GenAI, LLM & LangChain products (LangChain, LangSmith, LangGraph) is a plus

· Knowledge of databricks is a plus

· Familiar with agile methodologies: Scrum, SAFe

· Soft skills:

· Rigorous mindset, but still open to changes

· Autonomous and good team player

· Curious

· Like to coach, teach and bring support to others

· At ease in an international work environment

· Fluent English

· Effective communication skills (clear, concise)