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.