Senior Data Scientist - GenAI

Senior Data Scientist

Key Responsibilities:

• Develop and fine-tune

  Generative AI models

  using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc.
• Build end-to-end

  GenAI-powered solutions

  including prompt engineering, model training/fine-tuning, evaluation, and deployment.
• Use frameworks like

  LangChain, LlamaIndex

  , and vector databases (e.g.,

  FAISS

  ,

  Pinecone

  ,

  Weaviate

  ) to build

  RAG (Retrieval-Augmented Generation)

  pipelines.
• Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions.
• Conduct

  experiments

  , evaluate model performance, and optimize for accuracy, latency, and relevance.
• Contribute to the development of

  GenAI best practices

  and reusable assets within the organization.
• Stay up to date with the latest research and developments in the GenAI and LLM space.

Required Skills and Experience:

• 5+ years of experience in Data Science or AI roles, with

  2+ years in GenAI or LLMs

  .
• Strong Python skills and experience with

  transformers, Hugging Face, PyTorch, or TensorFlow

  .
• Deep understanding of

  NLP, language modeling, and generative techniques

  .
• Experience with

  prompt engineering

  , fine-tuning or few-shot learning.
• Hands-on experience with

  LangChain

  ,

  LlamaIndex

  , or similar GenAI orchestration frameworks.
• Working knowledge of

  vector stores

  ,

  embedding models

  , and

  retrieval techniques

  .
• Experience with model deployment in cloud or hybrid environments (e.g., Azure, AWS, GCP).
• Familiarity with MLOps tools and best practices is a plus.

Preferred Qualifications:

• Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Experience with

  OpenAI

  ,

  Anthropic

  ,

  Meta AI

  , or

  Google Cloud GenAI

  APIs.
• Background in

  chatbot development

  ,

  co-pilot solutions

  , or

  enterprise GenAI applications

  .
• Publications or contributions to open-source projects in the GenAI space are a plus.