As a Level 4 Research Analyst, you will implement classical ML models and LLM based inferences to solve defined problems. You'll work closely with senior scientists and engineers, contributing to model development, evaluation, and optimization.

Key job responsibilities
Implement machine learning models (classical ML covering classification and regression models) using Python and ML frameworks
Develop and iterate prompts for LLMs using few-shot, CoT, and instruction-based techniques
Conduct offline evaluations and benchmarking / testing on LLM and ML outputs
Collaborate with engineers to deploy models in production and monitor performance
Document experiments and results; participate and brief milestones in weekly sprint planning and model reviews

Expectations
Demonstrates hands-on skills in Python and ML/LLM toolkits
Understands trade-offs between Generative AI vs. Machine Learning approaches
Can deliver scoped ML components with guidance
Effective communicator and team collaborator

About the team
The Retail Business Systems (RBS)



group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.- Bachelor's degree
Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
Relevant experience in solving real world business problems using AI/ML or applying GenAI and LLMs through prompt engineering techniques.
Robust hands-on programming skills in Python, SQL.
Robust analytical thinking
Ability to creatively solve business problems, innovating current approaches where required and articulating ideas to a wide

📌 Business Research Analyst Bengaluru
🏢 Amazon
📍 Bengaluru