
Machine Learning Scientist for Business Innovation
3 weeks ago
Amazon, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community, is seeking a talented Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems in India.
Job OverviewThis job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Estimated Salary: $150,000 - $200,000 per year
Key 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.
- 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.
- 5+ 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.
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