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Tier-1 brand in Gurgaon plus mid-senior ML role increases competition, but LLM specialization narrows candidate pool.
Advanced LLM work with banking compliance considerations requires domain familiarity, but skills remain transferable.
Explicit 7-9 years plus mandatory LLM, RAG, Python, and SQL skills make filters highly stringent.
Design, develop, and deploy end-to-end AI/ML solutions focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
Lead advanced prompt engineering and build testing frameworks to ensure performance, accuracy, and safety of LLM applications.
Work with large datasets to generate insights, solve complex problems independently, and communicate findings to technical and non-technical stakeholders.
7-9 years of hands-on experience in AI, ML, or data science roles.
Strong foundation in machine learning algorithms such as Gradient Boosting, XGBoost, and Clustering.
Hands-on experience with Large Language Models and building RAG pipelines.
Bachelor's degree or equivalent in Computer Science, Statistics, Engineering, Mathematics, or related quantitative field.
Expertise in integrating advanced AI/ML techniques especially in autonomous AI systems (Agentic AI) and LLM optimization.
Experienced in working with complex datasets and proficient in Python and SQL for data manipulation and model deployment.
Able to operate independently with a strong technical foundation and translate AI/ML insights into actionable business solutions within a matrix organizational environment.