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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