MLOPs Engineer

iFlow is hiring ML Ops Engineer

Job Description for 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