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Tier-1 brand, remote role, and metro location increase candidate competition despite specialized ML requirements.
ML/AI and LLM skills are broadly transferable across industries.
Mandatory ML/LLM experience and specific tooling increase shortlisting strictness.
Own the development, training, evaluation, fine-tuning, and delivery of AI/ML models with high precision outcomes, especially in Machine Learning, Generative AI, and Agentic AI.
Collaborate with Data & AI experts, Software Engineers, and Business stakeholders to translate business requirements into AI/ML solutions.
Develop multi AI agents and Retrieval-Augmented Generation (RAG) systems for real-time decision-making integrating tools like LangChain, LlamaIndex, or custom frameworks.
Strong and proven experience in Machine Learning and Deep Learning techniques using popular AI/ML frameworks.
Experience building, deploying, and enhancing large-scale machine learning models in real-world product environments.
Hands-on experience with Large Language Models (LLMs), including implementation and fine-tuning, and Generative AI applications such as text generation.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated expertise in end-to-end AI/ML model lifecycle including data preprocessing, feature engineering, model selection, hyperparameter tuning, validation, and deployment.
Familiarity with AI programming languages and strong math, probability, statistics, and algorithms knowledge.
Experience with production support, problem-solving, and understanding business context to translate problems into AI/ML solutions.