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Software Engineer, Cross Border Science and Analytics

Amazon
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BengaluruPosted 1mo ago

About the role

Software Development Engineer to join the XB Science team, a centralized applied science function that builds and deploys ML-powered systems for cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces. Partners with Applied Scientists to productionize, scale, and operationalize ML models generating significant business impact.

Responsibilities

  • Own the end-to-end production deployment and scaling of ML models — from SageMaker training pipelines to real-time/batch inference endpoints serving millions of ASINs across 20+ country arcs
  • Build and maintain automated ML pipelines: data ingestion, feature engineering, model retraining, inference orchestration (Cradle, SageMaker, Glue, S3, Lambda)
  • Architect for zero-code-change market expansion — design systems that scale to new countries, languages, and programs through configuration rather than re-engineering
  • Own production excellence: monitoring, alerting, on-call, runbooks, SLA adherence, latency/IMR optimization, and HOTW compliance
  • Build agentic AI infrastructure — orchestration frameworks, tool-use APIs, and guardrails for AI agents

Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
  • Experience programming with at least one software programming language

Skills

Required:Software developmentSystem design and architectureML/AI deploymentReal-time and batch inference
Nice to have:Data engineering
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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