AI-ML Engg

AI-ML Engg -

AI Engineer

1. Design and Refine Prompts: Create, test, and optimize prompts for large language models to deliver accurate, consistent, and context aware outputs.
2. Develop RAG Pipelines: Build and maintain Retrieval Augmented Generation pipelines, integrating enterprise data sources and managing vector databases domains.
3. Implement NLP Solutions: Apply advanced NLP techniques (such as classification, entity extraction, summarization) and tailor models to business needs.
4. Model Training and Fine Tuning: Train, fine tune, and evaluate LLMs and custom models using enterprise framework and tools.
5. LLMOps Integration: Deploy and monitor LLM workflows using LLMOps platforms like Arize or Langfuse, continuously tracking model performance, drift, errors, and user interactions for optimal outcomes.
6. Deploy and Monitor Solutions: Package, deploy, and monitor GenAI applications on Azure, optimizing for reliability, latency, and compliance.
7. Hands on Python Development: Leverage Python for scripting, data processing, model development, and integration tasks throughout the AI solution lifecycle.
8. Collaborate and Document: Work with cross functional teams to align technical solutions with business goals, and maintain thorough technical documentation while ensuring security, data privacy, and responsible AI standards

Location- PAN India

Yrs of Exp-5+Yrs