Mlops Engineer

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 Qualifications 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