Amazon

Software Engineer, Cross Border Science and Analytics

Amazon Bengaluru, Karnataka, India

Software Development · 10,001+ employees

Yesterday
Mid (2-5 yrs) Full-time India
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About the role

The Software Development Engineer will own the end-to-end production deployment and scaling of ML models across international marketplaces. They will also build automated ML pipelines and architect systems for market expansion while ensuring production excellence and latency optimization.

What they look for

Machine Learning Software Development System Architecture SageMaker Data Ingestion Feature Engineering Inference Orchestration Python Cloud Computing API Development Monitoring Latency Optimization Agentic AI SLA Management Software Development Life Cycle Code Reviews

Requirements

Candidates must have at least 3 years of professional software development experience and 2 years of system design or architecture experience. Additionally, 3 years of experience in the video games industry is required, along with a bachelor's degree in computer science or an equivalent field.

Full description

We are looking for a Software Development Engineer to join the XB Science team — a centralized applied science function that builds and deploys ML-powered systems driving cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces. The SDE will partner directly with Applied Scientists to productionize, scale, and operationalize ML models that generate $100M+ in business impact annually.

Key job 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

Basic 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

Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent

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