Applied Scientist, Central Seller Fulfillment

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Applied Science

Machine Learning Scientist role focused on building and productionizing personalized Gen AI systems for Amazon's global selling partners, with a focus on Agentic, RL, or forecasting systems. Requires expertise in deep learning frameworks, agentic frameworks, and scalable AI system design.

What you'd actually do

  1. building, productionizing (real & batch) and measuring impact of state of the art personalized Gen AI systems for Amazon global selling partners and contribute to Amazon wide research in this area in the form of publications and white papers.
  2. Expert in distilling informal customer requirements into problem definitions, dealing with ambiguity and formulating ML products to solve these problems.
  3. Ability to write clear, structured and modularized code in Python.
  4. Experience creating data pipelines & proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms.
  5. Industry experience designing complex scalable AI systems.

Skills

Required

  • Master’s degree in CS or ML related fields
  • Scientist/Tech Lead creating and shipping impactful ML products.
  • Python
  • Tensorflow
  • Keras
  • Pytorch
  • LangChain
  • Crew AI
  • Spark
  • HIVE
  • Redshift
  • SQL
  • RDBMS
  • Data Warehouse

Nice to have

  • Tier-1 publications
  • Java
  • C++
  • implementing algorithms using both toolkits and self-developed code
  • publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • Strong academic background in Statistics, Machine Learning & Deep Learning is required
  • Expertise in Deep Learning frameworks such as Tensorflow, Keras and Pytorch & Agentic frameworks such as LangChain, Crew AI etc.
  • Industry experience designing complex scalable AI systems.
  • Experience creating data pipelines & proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms.

Other signals

  • shipping large scale ML products
  • customer impact
  • scalable Agentic, RL or forecasting systems
  • state of the art personalized Gen AI systems