Artificial Intelligence Engineer

4 weeks ago


Bengaluru, Karnataka, India ADCI - Karnataka Full time

As an Applied Scientist on the Amazon Artificial Generative Intelligence (AGI) team in India, you will be responsible for developing and deploying ML algorithms within the realm of Generative AI. Your key job responsibilities will include:

Key Responsibilities:
  • Research and experimentation to advance the state of the art in AI & ML for GenAI.
  • Collaboration with cross-functional teams to architect and execute technically rigorous AI projects.
  • Adapting quickly to evolving technical requirements and deadlines.
  • Effective technical communication with coordination across teams.
  • Conducting thorough documentation of algorithms, methodologies, and findings.
  • Publishing research papers in internal and external venues of repute.
  • Supporting 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:
  • 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.
  • Excellent communication skills and ability to collaborate effectively in a distributed, cross-functional team setting.
PREFERRED QUALIFICATIONS:
  • 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.
  • Exceptional level of organization and strong attention to detail.
  • Comfortable working in a fast-paced, highly collaborative, dynamic work environment.


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