Expert, MLOps Engineer

Job Description

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.

The AI Technology team is looking for a Senior MLOps Engineer to 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.

Your profile:

• Master’s degree in Engineering, computer science engineering field
• 5+ years of experience in ML Engineering
• Strong knowledge on Machine Learning (including ML model management context) and GenAI technologies (including RAG)
• Good knowledge of DevOps processes at scale and experience of production systems
• Mindset: rigorous (but still open to changes), oriented towards customers, problem solving & results
• Good team player
• Autonomous
• Ideally, some knowledge of Energy Management and Automation market
• At ease in an international work environment & fluent in English
• Familiar with agile methodologies: Scrum, SAFe
• Technologies:
• Azure and/or AWS cloud technologies and their respective ML platforms (AzureML, AWS SageMaker)
• Github, Python, Azure, AWS, Databricks, MLFlow, Kubernetes

We look for someone 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 also leverages Databricks solution.

Your responsibilities:

• Contribute to the industrialization of the ML & GenAI technical stacks of our AI Platform, by participating in their definition, architecture, development, test, documentation & maintenance phases
• Ensure the development process of this stack follows the DevSecOps recommendations & best practices
• Write ML pipelines to illustrate the AI Platform capabilities
• Contribute to the CI/CD workflows developments to automate the integration and deployment of the various ML assets (code or models) into the different environments
• Contribute to the definition of the MLOps operating model and make sure the AI Platform enforces this model
• Collaborate with our stakeholders to co-design the new features of the AI Platform
• Occasionally be involved in one of our stakeholders teams to help them using the AI platform, write ML pipelines, and, in return, collect platform evolution needs
• Occasionally contribute to the collective effort of run & support for the AI Platform

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 – start 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.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality, and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

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.