Data Scientist - Speech and Language AI

Amazon India Limited

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

13 days ago
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Job summary

Amazon is seeking a Data Scientist with a machine learning background to help build industry-leading Speech and Language technology. You will work on ASR, NLU, ML, and CV, contributing to state-of-the-art language systems within the Amazon AWS AI team.

You will gain hands-on experience with large-scale data and computing resources to advance spoken language understanding. Your work will impact millions of customers, and you will collaborate with experts to develop novel data techniques and

Qualifications

  • 1+ years of data querying languages (e.g., SQL) or scripting languages (e.g., Python) experience.
  • 2+ years as a data scientist, statistician, or quantitative analyst in analytics-rich environments.
  • 1+ years creating or contributing to educational content (papers, books, tutorials).

Responsibilities

  • Develop data experiments, models, and algorithms for speech and language tech.
  • Contribute to ASR, NLU, ML, and CV initiatives across the team.
  • Collaborate with cross-functional partners to drive data-driven decisions.

Skills

SQL
Python
Statistics

Education

Master's degree in STEM
PhD in STEM

Tools

SPSS
SAS
R

Job description

Data Scientist, Alexa AI Amazon is looking for a passionate, talented, and inventive Data Scientist with machine learning background to help build industry-leading Speech and Language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML). Key job responsibilities Key job responsibilities Amazon is looking for a passionate, talented, and inventive Data Scientist with machine learning background to help build industry-leading Speech and Language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV). As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop data experiments, novel algorithms and data techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding.

Basic Qualifications
  • 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Preferred Qualifications
  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  • Experience working with or evaluating AI systems
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  • Experience effectively communicating complex concepts through written and verbal communication

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.

Experience Level Entry Level

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