Looking for an Data Scientist-Artificial Intelligence with 6-9 years of experience, including 3+ years building production-grade LLM and machine learning solutions. The role involves developing, fine-tuning, and deploying LLM-based applications, implementing RAG pipelines, multi-agent systems, and scalable AI services using Python.
6 to 9 total years of experience (3+ Years Experience in production level LLM/ ML systems).
Must Technical Skills:
Highly skilled in Python 3.9 and above (good to have experience with Microservices architecture and REST API [Fast API /Django etc.])
Expertise in LLM’s and foundation Models (GPT, Claude, LLaMa, Mistral etc.)
Hands-on Experience of LLM fine-tuning and training
Multiagent framework and Agent memory systems understanding (short-term, long-term, episodic).
Knowledge of RAG Architecture, Vector databases (i.e., Pinecone, Weaviate, ChromaDb etc.), tokenization, embeddings and attention mechanism.
Knowledge of Vision language models (VLM) like CLIP, LlaVa, GPT-4V, BLIP etc.)
Domain Skills (Optional):
Good to have Automotive Aftersales domain knowledge.
Python, Python 3.9+, FastAPI, Django, REST APIs, Microservices, Machine Learning, Large Language Models, Foundation Models, GPT, Claude, Llama, Mistral, LLM Fine-Tuning, LLM Training, Multi-Agent Systems, Agent Memory, RAG, Vector Databases, Pinecone, Weaviate, ChromaDB, Tokenization, Embeddings, Attention Mechanism, Vision Language Models, CLIP, LLaVA, GPT-4V, BLIP, AI Model Deployment, Automotive Aftersales Domain Knowledge