Business Research Analyst - I, RBS Tech

Amazon

Bengaluru

On-site

INR 1,200,000 - 2,000,000

Full time

2 days ago
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Job summary

Amazon in Bengaluru, Karnataka is hiring a Level 4 Research Analyst to 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.

You will build and compare ML solutions, develop prompts for LLMs, evaluate models offline, and help deploy them into production while monitoring performance.

Qualifications

  • Bachelor's degree in Quantitative or STEM disciplines.
  • Relevant AI/ML experience or GenAI/LLM prompt engineering.
  • Strong programming skills in Python and SQL.
  • Analytical thinker with good communication
  • Ability to collaborate across multiple tech and business teams.
  • Diverse experience across roles is a plus.

Responsibilities

  • Implement ML models (classical) using Python and ML frameworks.
  • Develop prompts for LLMs using few-shot, CoT, and instruction-based methods.
  • Conduct offline evaluations and benchmarking of LLM and ML outputs.
  • Collaborate with engineers to deploy models in production and monitor performance.
  • Document experiments and present milestones in sprint reviews.

Skills

Python
SQL
Prompt engineering
ML concepts
Communication skills
Team collaboration
Experiment tracking

Education

STEM degree
Bachelor's degree

Tools

ML frameworks
Data pipelines

Job description

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company

ADCI - BLR 14 SEZ - F07

Job ID: A10500642

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