Looking For Senior Data Scientist

1 week ago

Bengaluru, Karnataka, India Clarity Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Location : Remote

Exp- 5 to 10 Years

LLMs, Agentic AI, Langchain, Langgraph/crew AI/ AutoGen,(Retrieval Augmented Generation) RAG, Reranker, Embedding Models, Hugging Face, OpenAI, Claude, Anthropic, Gemini, NLP, BERT, Transformers, Fine Tuning, Zeroshot/Few Short prompting

Key Responsibilities:

  • Design, develop, and iterate on LLM-powered agents and multi-agent AI systems using frameworks like LangGraph, LangChain, and AutoGen.
  • Build advanced Retrieval-Augmented Generation (RAG) pipelines to deliver context-aware, grounded AI responses.
  • Integrate Generative AI solutions into our product ecosystem via robust FastAPI services and Azure AI pipelines.
  • Develop and maintain agent orchestration flows, including tools for memory, planning, and tool-use capabilities.
  • Collaborate cross-functionally with product, engineering, and domain experts to identify opportunities for autonomous AI workflows in legal and regulatory tasks.
  • Apply advanced Natural Language Processing (NLP) techniques to unstructured legal data to extract insights and drive product capabilities.
  • Maintain and optimize databases and document stores (e.g., Solr, PostgreSQL, Azure CosmosDB) for LLM data pipelines.
  • Stay current with the latest in GenAI, autonomous agent frameworks, vector databases, and prompt engineering strategies.

Required Skills & Experience:

  • Proficiency in Python, including libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn.
  • Deep hands-on experience with Large Language Models (LLMs) (e.g., GPT, Claude, LLaMA) and fine-tuning techniques.
  • Experience with agentic AI frameworks and building tool-using agents that reason and act autonomously.
  • Strong knowledge of FastAPI for deploying AI services and MLflow for model management.
  • Experience with cloud-native AI workflows using Azure AI, OpenAI APIs, or AWS Bedrock.
  • Familiarity with RAG pipelines, vector embeddings, and semantic search for grounded AI output.
  • Comfortable with Linux, shell scripting, and working in distributed, containerized environments.
  • Solid understanding of statistical modeling, data structures, algorithms, and database design.
  • Proficiency with SQL, experience with Solr via Python, and exposure to vector stores.
  • Strong problem-solving skills, a self-motivated mindset, and the ability to work effectively across distributed teams.

Preferred Qualifications:

  • Bachelors degree in computer science, Engineering, Statistics, Mathematics, or a related field; a Masters degree is a plus.
  • 5+ years of experience supporting software products or applications in the AI/ML domain.
  • Experience developing autonomous AI agents for enterprise applications.

Interested candidate can apply to

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