Senior Machine Learning Engineer - Generative AI

Responsibilities :

- Design and develop machine learning and generative AI models to enhance platform capabilities, enable intelligent interactions, and support diverse use cases.

- Implement Retrieval-Augmented Generation (RAG) pipelines for contextual responses based on enterprise data.

- Integrate LLM-based chatbots with client-specific domain knowledge and data systems to ensure relevance and accuracy.

- Collaborate with Data Scientists, ML Engineers, and MLOps teams to operationalize models using Azure ML and other cloud-native services.

- Build and maintain scalable machine learning and RAG pipelines using Azure technologies.

- Fine-tune pre-trained LLMs and optimize model performance based on business and technical feedback.

- Continuously evaluate emerging techniques in generative AI, ML, and data science to recommend improvements and innovations.

- Work in an Agile environment and participate in team ceremonies and stakeholder interactions to align model development with business needs.