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Amazon Applied Scientist Alexa AI 
India, Karnataka 
202180253

30.03.2025
DESCRIPTION

Key responsibilities include:- Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.- Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.- Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.
- Publish research papers in internal and external venues of repute
- Support on-call activities for critical issues
Basic Qualifications:- Master’s in computer science, statistics or a related field or relevant science experience (publications/scientific prototypes) in lieu of Masters
- Experience in deep learning, machine learning, and data science.
- Proficiency in coding and software development, with a strong focus on machine learning frameworks.
- Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.Preferred Qualifications:- Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- The motivation to achieve results in a fast-paced environment.
- Exceptional level of organization and strong attention to detail- Papers published in AI/ML venues of repute

BASIC QUALIFICATIONS

- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience researching about machine learning, deep learning, NLP, computer vision, data science


PREFERRED QUALIFICATIONS

- Have publications at top-tier peer-reviewed conferences or journals