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Job Information
Amazon Applied Scientist II in Chennai, TennesseeIndia
Description
DESCRIPTION
The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems.
Key job responsibilities
Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML.
Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.
Engage in effective technical communication (written & spoken) with coordination across teams.
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
Experience building machine learning models or developing algorithms for business application
PhD, or a Master's degree and experience in CS, CE, ML or related field
Knowledge of programming languages such as C/C++, Python, Java or Perl
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Proficiency in coding and software development, with a strong focus on machine learning frameworks.
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.
PREFERRED QUALIFICATIONS
3+ years of building machine learning models or developing algorithms for business application experience
Have publications at top-tier peer-reviewed conferences or journals
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
Exceptional level of organization and strong attention to detail
Comfortable working in a fast paced, highly collaborative, dynamic work environment
Basic Qualifications
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
Experience using Unix/Linux
Experience in professional software development
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