Data Scientist -II
On-siteBengaluru, Karnataka, India
Job Summary
Develop, fine-tune, and deploy Large Language Models (LLMs) for chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions using frameworks like LangChain, LlamaIndex, AutoGen, and LangGraph. Design ML/DL-based models to enhance natural language understanding and implement Retrieval-Augmented Generation (RAG) with vector databases such as FAISS, Pinecone, and ChromaDB. Optimize transformer-based models including LLaMA and Mistral for domain-specific tasks while developing APIs and pipelines to integrate LLMs into enterprise applications. Research the latest advancements in LLM architectures and AI trends to drive innovation.
Required Qualifications
- 2-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development
- Strong proficiency in Python
- Experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers
- Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph
- Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models
- Understanding of Prompt Engineering and Fine-tuning LLMs
- Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale
- Experience in working with APIs, Docker, FastAPI for model deployment
- Strong analytical and problem-solving skills
- Ability to work independently and collaboratively in a fast-paced environment
Desired Qualifications
- Hands-on experience in developing and deploying conversational AI/chatbots is Plus
- Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.)
- Knowledge of Knowledge Graphs and Symbolic AI
- Understanding of MLOps and LLMOps for deploying scalable AI solutions
- Experience in automated evaluation of LLMs and bias mitigation techniques
- Research experience or published work in LLMs, NLP, or Generative AI is a plus
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