Senior MLOps Engineer

About the role :

Saint-Gobain is modernizing its Data practices with more and more Artificial Intelligence algorithms and is seeking a senior MLOps Engineer to reinforce Saint-Gobain center of excellence in AI & GenAI, assisting Saint-Gobain Data Science teams worldwide in building and deploying AI applications to maximize the value brought to the Business by Artificial Intelligence applications.

In this role, you will:

Act as an expert, assisting Data Scientists in designing AI solutions, selecting and implementing the right technologies according to their needs
Move AI applications from prototyping stage to production
Extend the AI & GenAI foundations (Saint-Gobain Python libraries for AI & GenAI, CI/CD pipelines, reference AI/GenAI architecture, and global AI/Gen AI tools) which will be used by all main Data Science teams in Saint-Gobain worldwide, including local AI/GenAI factories
Deploy and scale AI applications developed by Data Scientists to new Business units
Ensure the automation of applications & models monitoring
Support end-users on the use of Saint-Gobain AI & GenAI foundations
 

In this role, you will report to:

a INDEC Data & AI manager
 

In this role, you will interact with:

Data Scientists from different BUs of Saint-Gobain worldwide to guide them on the best use of Saint-Gobain AI & GenAI technologies and tooling
Local MLOps engineers in BUs assisting Data Scientists locally, to provide them expertise on AI tooling and methodology
Business users to support their use of Saint-Gobain global AI/GenAI applications
 

Qualifications:

MS degree in Data Science
Proven experience (5+ years) in AI Engineering in a cloud environment (Azure / AWS / GCP)
 

Skills:

Expertise in MLOps (models re-training, labelling & monitoring)
Expertise in Python and ML models optimization.
Expertise in Cloud AI Services, especially Azure ML
Good knowledge in Generative AI architectures and solutions
Good knowledge in applications industrialization (Dockers / Kubernetes)
Good knowledge in DevOps (Git, CI/CD pipelines)
Fluent in English and takes initiatives