Applied Scientist II, Geospatial Science Expert

1 month ago


Hyderabad, Telangana, India Amazon Development Centre (India) Private Limited Full time
About the Role

We are seeking an experienced Applied Scientist II to join our Geospatial Science team at Amazon Development Centre (India) Private Limited. As a key member of our team, you will be responsible for delivering cutting-edge solutions in geospatial science and technology, driving business impact through innovative applications of machine learning and data analytics.

Key Responsibilities

As an Applied Scientist II, you will work on complex business problems, exploring state-of-the-art technologies, including Generative AI, and customizing large models for our applications. Your responsibilities will include:

  • Designing and implementing end-to-end business solutions from experimentation to implementation
  • Developing and deploying machine learning models for large-scale predictive modeling, natural language processing, and graph-based learning
  • Collaborating with cross-functional teams to integrate geospatial data and analytics into our delivery planning systems
  • Communicating complex technical approaches to stakeholders with varied technical expertise
About the Team

The Last Mile Address Intelligence (LMAI) team is a part of the Geospatial Science team, led by Amber Roy Chowdhury, and is responsible for developing address and location learning solutions critical for efficient Last Mile delivery planning. Our team is spread across HYD13 and BLR26 locations and works closely with other scientists and engineers in a collegial environment.

Requirements

To be successful in this role, you will need:

  • 3+ years of experience in building models for business applications
  • PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field
  • Experience programming in Java, C++, Python, or a related language
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
Preferred Qualifications

We also welcome candidates with experience in:

  • Unix/Linux
  • Professional software development
  • Patents or publications at top-tier peer-reviewed conferences or journals


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