Interview Prep
Career
GenAI
Prompt Engg
ChatGPT
LLM
Langchain
RAG
AI Agents
Machine Learning
Deep Learning
GenAI Tools
LLMOps
Python
NLP
SQL
AIML Projects

Reading list

Machine Learning/Research Scientist – Amazon – Bangalore

d
deepak Last Updated : 25 Nov, 2014
< 1 min read

Designation – Machine Learning/Research Scientist

Location – Bangalore

About employer– Amazon

Job description:              

Responsibilities

  • A Machine Learning Scientist is responsible for solving complex big-data problems in online advertising space using data mining, machine learning, statistical analysis and computational economics.
  • An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics.
  • The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets.
  • The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence.

Qualification and Skills Required

  • PhD in Machine Learning, Statistics, Optimization or Applied Mathematics
  • Relevant industry or research experience
  • Hands-on experience in predictive modeling and analysis
  • Strong skills in problem solving, programming and computer science fundamentals

Interested people can apply for this job can mail their CV to [email protected] with subject as Machine Learning/Research Scientist – Amazon – Bangalore

If you want to stay updated on latest analytics jobs, follow our job postings on twitter or like our Careers in Analytics page on Facebook

Business IntelligenceComputer Sciencedata analysisdata miningmachine learningmodelingoptimizationPredictive modelingResearch ScientistStatistical Analysisstatistics
d
deepak

Free Courses

Generative AI 4.7

Generative AI - A Way of Life

Explore Generative AI for beginners: create text and images, use top AI tools, learn practical skills, and ethics.
Large Language Models 4.5

Getting Started with Large Language Models

Master Large Language Models (LLMs) with this course, offering clear guidance in NLP and model training made simple.
Prompt Engineering 4.6

Building LLM Applications using Prompt Engineering

This free course guides you on building LLM apps, mastering prompt engineering, and developing chatbots with enterprise data.
LlamaIndex 4.8

Improving Real World RAG Systems: Key Challenges & Practical Solutions

Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications.
RAG systems using LlamaIndex 4.7

Microsoft Excel: Formulas & Functions

Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive course.

Recommended Articles

Responses From Readers

Clear

Write for us

Write, captivate, and earn accolades and rewards for your work
  • Reach a Global Audience
  • Get Expert Feedback
  • Build Your Brand & Audience
  • Cash In on Your Knowledge
  • Join a Thriving Community
  • Level Up Your Data Science Game
imag
Congratulations, You Did It!
Well Done on Completing Your Learning Journey. Stay curious and keep exploring!
GPT-4 vs. Llama 3.1 – Which Model is Better?
GPT-4 vs. Llama 3.1 – Which Model is Better?
Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks
Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details