Data Scientist, Graph RAG & LLM Fine Tuning

State Street

4 - 8 years

40 - 100 Lacs

bengaluru

Posted:8 hours ago| Platform:

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Skills Required

fine tuning ai strategy llm machine learning

Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities

Design and implement Graph RAG pipelines for enterprise-scale knowledge retrieval and contextual generation.
Fine-tune LLMs (e.g., GPT, LLaMA, Mistral) using domain-specific datasets to improve performance on targeted tasks.
Develop and maintain knowledge graphs and embeddings for semantic search and reasoning.
Collaborate with engineering teams to deploy scalable AI solutions in production environments.
Conduct experiments and evaluations to benchmark model performance and ensure robustness.
Stay up-to-date with the latest research in NLP, graph neural networks, and LLM architectures.

Required Qualifications

Bachelors or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
3+ years of experience in applied machine learning or NLP.
Hands-on experience with LLM fine-tuning using frameworks like Hugging Face Transformers, DeepSpeed, or LoRA.
Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction.
Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

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