Software Engineer II

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Artificial Intelligence

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In short

Amazon is looking for a Software Engineer II to join their Associate Experience organization in Hyderabad, India. This role involves defining and building the Associate Context & Insights platform, with a focus on Machine Learning lifecycle and Large Language Models. The engineer will contribute to architecture, system design, and end-to-end delivery of a new product space.

Responsibilities

Define the long-term architecture for Associate Context & Insights platform
Guide the team on building scalable Machine Learning Models
Establish engineering excellence standards for the team
Deliver the minimum viable product incrementally
Influence senior leadership on long-term investments that improve associate capability, customer outcomes, and operational efficiency
Partner closely with Engineering, Applied Science, and Business Intelligence to continuously improve the product

Requirements

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 programming with at least one software programming language
Experience building complex software systems that have been successfully delivered to customers
Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Desired 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
Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

Benefits

Inclusive culture empowers Amazonians to deliver the best results for our customers
Workplace accommodations and adjustments available for individuals with disabilities during the application and hiring process

Skills

JavaC++C#Machine LearningLarge Language Models

#Software Development#Machine Learning#Large Language Models

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