Applied Scientist I, Artificial Generative Intelligence
4 weeks ago
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 2-7 years experience in deep learning, machine learning, and data science.
- 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.
The Amazon Artificial Generative Intelligence (AGI) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI.
Key job responsibilities- Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
- 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 We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- 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
Posted: April 22, 2024 (Updated 1 day ago)
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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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