Applied Scientist I, Artificial Generative Intelligence

1 month ago

Bengaluru, India ADCI - Karnataka Full time
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 issuesWe are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, IND

BASIC QUALIFICATIONS

- 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.

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

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