Back
Popular mid-level Data Scientist title in Bengaluru with metro location yields medium competition.
LLM and ML skills are transferable, but BU-specific and finance domain knowledge moderately increases sensitivity.
Explicit 5+ and 3+ relevant years plus required LLM, PyTorch, graph DB, and cloud skills enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Drive applied research and product-oriented data science for Agentic AI platform, owning domain-specific model evaluation, fine-tuning, and operationalization.
Lead development of evaluation frameworks, taxonomies, and metrics for model benchmarking and anomaly detection.
Build and maintain knowledge graphs and inference engines; collaborate with engineering to deploy scalable AI solutions in production.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
5+ years overall IT experience with 3+ years in applied machine learning or NLP in production environments.
Strong experience with LLMs, GenAI, or NLP including fine-tuning and evaluation; proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
Experience with graph databases (e.g., Neo4j, DGL), knowledge graphs, vector stores, and familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices.
Experienced in leading end-to-end domain-specific AI/ML projects focused on large language models and agentic AI workflows.
Strong technical proficiency with practical hands-on skills in LLM fine-tuning, model evaluation, and deployment at scale in production environments.
Capable of cross-functional collaboration with engineering, product, and business teams to translate applied research into scalable solutions.