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Research Analyst , RBS Packaging UDE

Amazon

Research Analyst , RBS Packaging UDE

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

2w ago

As a 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

Basic Qualifications

  • Bachelor's degree in a quantitative field, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Experience working cross functionally with tech and non-tech teams
  • 1+ years of relevant work 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.
  • 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

Preferred Qualifications

  • Diverse experiences 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

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.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge