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Description

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

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