Amazon Machine Learning Engineer Customer Experience Business Trends 

India, Karnataka, Bengaluru 

468451711

As an SDE / MLE, you will be part of a team that adds new capabilities with multiple visual/audio analytic methodologies. The solutions heavily leverage AI and quantitative analysis to challenge conventional wisdom with hard data. Our SDEs use technology to solve complex problems and get to see the impact of their work first-hand.Key job responsibilities
Ability to quickly learn new technologies and algorithms in the field of Generative AI.Stay up-to-date with advancements and the latest modeling techniques in the fieldWork closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-endWrite high-quality, maintainable code while following best practices and design patternsOwn end to end deployment at scale of Generative and ML methods.Build and optimize automated data collection frameworks across different surfaces (web, mobile)Participate in code reviews and contribute to technical documentationDebug production issues and implement performance improvementsContribute to architecture decisions and technical strategyA day in the life
You'll work closely with Product Managers, Data Scientists, and other engineers to build tools that enable large-scale data collection and analysis. You'll tackle challenges ranging from agentic framework development to implementing new features for our self-service platforms, while ensuring high performance and reliability.

- 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
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- 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
- Experience building complex software systems that have been successfully delivered to customers