09 Sep
|
NMS INFRAA
|
Gurugram
09 Sep
NMS INFRAA
Gurugram
Key Responsibilities:
- Design and deploy end-to-end Generative AI applications tailored for specific business use cases.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines to combine LLMs with external knowledge sources.
- Integrate vector databases (e.g., ChromaDB, Pinecone, LanceDB) for semantic search, embedding storage, and productive retrieval of large-scale datasets.
- Fine-tune pre-trained LLMs for domain-specific tasks, ensuring high accuracy and relevance of generated outputs.
- Collaborate with data engineers, ML engineers, and product teams to integrate AI solutions into applications and workflows.
- Conduct testing, evaluation, and monitoring of AI models to ensure performance, fairness, and reliability.
- Research emerging LLM technologies, frameworks, and tools to continuously enhance solution capabilities.
📌 LLM Engineer (Gurugram)
🏢 NMS INFRAA
📍 Gurugram