Publicis Sapient - Senior MLOps Engineer - LLM Models

About the Project :

Client is a leading global financial markets infrastructure and data provider. The Content Amplify project is at the forefront of transforming unstructured financial narratives into structured, accessible data using cutting-edge AI technologies.

Our mission is to amplify human-in-the-loop efforts, enabling ML and LLM models to learn from subject matter expert feedback in a scalable, iterative process.

This includes leveraging ML-Ops, cloud-native architectures, and innovative feedback loops to continuously improve data quality, speed, and scope.

Key Responsibilities :

• Develop scalable and maintainable Python-based backend systems.
• Build and optimize APIs and services using frameworks like Flask or Django.
• Collaborate with cross functional teams including Data Scientists, DevOps, Architecture, QA, Cyber Security etc. to integrate classic ML and LLM models into production workflows.
• Design and maintain efficient database schemas and queries.
• Implement security and data protection best practices.
• Debug, test, and improve existing systems.
• Support production systems and ensure high availability.
• Take full ownership of design initiatives - from concept to task breakdown.
• Ensure system reliability, fault tolerance, and performance optimization.

(ref : hirist.tech)