Website:
raisusa.com
Job details:
Role - ML Ops Engineer
Location -Mumbai, Andheri East
Responsibilities:
- 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 & monitoring models
- Support end-users on the use of Saint-Gobain AI & GenAI foundations
- Interaction 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)
Preferred 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
Click on Apply to know more.