Business Research Analyst - I, RBS Tech

DESCRIPTION

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.

BASIC QUALIFICATIONS

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.

Strong hands-on programming skills in Python, SQL.

Strong analytical thinking

Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills

Ability to collaborate effectively across multiple tech and business teams.

PREFERRED QUALIFICATIONS

- Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in AI/ML and GenAI.

PREFERRED QUALIFICATIONS

Knowledge of data modeling and data pipeline design

Experience with statistical analysis, co-relation analysis

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