Software Development Engineer II (ML), CMT

As a member of Amazons Worldwide Pricing and promotions team youll play a key role in the evolution of our Competitive Monitoring team to solve the worlds most complex technical challenges in Crawling Large-scale computing Distributed systems Web applications and using Large language models in agentic workflows to build scalable robust solutions at amazon scale.

Key job responsibilities
The Challenge
Build the intelligence engine that powers Amazons competitive advantage. Were looking for engineers who can architect real-time systems that ingest analyze and act on competitive data at scale - using machine learning agentic workflows and latest observability to solve problems that directly impact billions of shopping decisions. If youre energized by building systems that are simultaneously intelligent resilient and observable - and you want ownership of that entire stack - this is for you.

What Youll Do
The Competitive Monitoring team in Bangalore/Chennai is pioneering new approaches to competitive intelligence collection. Youll design systems that think by architecting agentic workflows that autonomously solve complex business problems while maintaining safety and observability end-to-end. Youll build for scale engineering real-time highly available solutions that handle Amazons competitive landscape at massive volume. Youll own the full stack - from intuitive APIs and interfaces to robust backend systems applying best practices in security performance accessibility and usability. And youll collaborate globally partnering with teams in Seattle and across Amazon to shape the future of competitive intelligence.

This is a growing dynamic space where your work directly influences how customers discover products and make decisions.

A day in the life
A typical day involves:

(a) Productionizing and maintaining ML models - deploying models to production and ensuring their ongoing reliability

(b) Monitoring model health and data drift - developing algorithms to detect and address performance degradation and data quality issues

(c) Accelerating the ML/AI path to production - partnering closely with scientists to streamline the journey from development to deployment

(d) Building observability and alerting infrastructure - architecting tools to monitor trace and alert on AI model outputs

- 3 years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Bachelors degree in computer science or equivalent

- 4 years of building large-scale machine-learning infrastructure for online recommendation ads ranking personalization or search experience
- Knowledge of Machine Learning and LLM fundamentals including transformer architecture training/inference lifecycles and optimization techniques

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