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.
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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 of deploying and operating ML & GenAI applications in production
- Strong academic knowledge in the domain of ML, GenAI and Agentic AI
- Very good knowledge of MLOps & LLMOps practices
- Master DevOps tools & processes : CI/CD, GitHub, GitHub actions
- Master Python programming language
- Good general knowledge of at least one of the following cloud service providers stacks : Azure or AWS
- Master Azure AI Services (Azure ML Services, Azure AI Foundry, Azure OpenAI) or AWS AI Services (AWS SageMaker, Bedrock)
- Knowledge of LangChain products (LangChain, LangSmith, LangGraph) is a plus
- Knowledge of databricks is a plus
- Familiar with agile methodologies: Scrum, SAFe
- 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)
We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply.
#LI-SM1
Looking to make an IMPACT with your career?
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric - apply today!
36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
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Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.