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    Job · 20657287

    BENGALURU · FULLTIME

    Business Research Analyst - I, RBS Tech

    Amazon

    Amazon

    Bengaluru · onsite · Posted 12d ago

    Sourced fromFoundit
    Not disclosedFresherfulltimeBengaluru

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    Section · 01

    About this role

    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: A10500643

    Sourced from foundit

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    Section · 02

    Skills

    statistical analysisML FrameworksData Pipeline DesignPythonSQLData ModelingLLM toolkits

    Section · Company

    About Amazon

    Amazon

    Amazon

    Internet

    120k+

    employees

    1994

    32 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    Amazon is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

    Industries

    InternetRetailUrban TransportLogisticsEmerging TechnologiesIT Services & Consulting

    Employee ratings

    31,409 reviews

    3.9/ 5

    Culture

    4.0

    Career growth

    3.2

    Work-life

    3.8

    Employees rate it well for

    Work Culture3746Salary2936Work Life Balance2821Senior Management1830Career Growth1598

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