Amazon Applied Scientist II Analytics Technology Engineering ATE 

India, Karnataka 

452866947

Job Description• Using real time day signals to give ahead volume forecasting for last mile and middle mile for labour planning
• proactively identifying the network fraud across various Ops entities
• Building graphs based algorithms to determine collusion between Customer, Seller and Ops entities
• Using LLMs to automate operations processes and working with multiple WW Science teams to bring product parity.
• Using machine learning models and optimization algorithms to find optimal prices for Amazon middle-mile transportation
• Using OR to design Automated planner and scheduler product. It takes forecast, site constraints, CPT/CIT, vehicle availability, transit times etc. as inputs and provides vehicle departure timings, optimal route as output to optimise truck fill rate and loaded distance travelled. One of the key requirement for Coltan to provide vehicle departure time is time of day forecast.
Key job responsibilities- Implement SOTA and complex ML solutions to meet the org goals
- Publish work in internal and external top-tier conferences
- Expand the use of ML within the organization.Bengaluru, KA, IND

- 4+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux