Data Scientist

Key Responsibilities:

- Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval.
- Fine-tune or adapt foundation models using domain-specific data.
- Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, Chroma DB).
- Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
- Develop custom prompts and prompt chains using tools like Lang Chain, Llama Index, Prompt Flow, or custom frameworks.
- Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost.
- Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture.

Required Skills:

- 5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects.
- Strong Python programming skills, especially in libraries such as Transformers, Lang Chain, scikit-learn, PyTorch, or Tensor Flow.

- Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models.
- Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques.
- Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask).
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices.
- Excellent communication skills with the ability to translate technical solutions into business impact.