SDE II, Amazon India Ads

Amazon; Karnataka; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amazon is seeking a professional to design and build large-scale ML infrastructure at its Karnataka location. The role requires expertise in integrating generative AI and real-time systems to enhance customer experience in digital advertising.

The ideal candidate will have over three years of software development experience, a background in designing impactful systems, and a Bachelor’s degree in computer science. A passion for innovation and modern AI technologies is essential.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture of new and existing systems experience.
• Experience programming with at least one software programming language.

Responsibilities

• Design and build large-scale ML infrastructure for online recommendation.
• Drive appropriate technology choices for the business, evaluating traditional ML vs. foundation models.
• Code, troubleshoot, and support high-volume, low-latency distributed systems.

Skills

Machine Learning Infrastructure

Generative AI

Big Data Technologies

Programming

Education

Bachelor's degree in computer science or equivalent

Tools

AWS SageMaker

PyTorch

TensorFlow

Job description

If you are excited by the opportunity to build highly innovative, scalable, high-performance, and low-latency solutions at the intersection of digital advertising and AI/ML, this may be the right career move for you. Be part of an innovative and passionate team leveraging generative AI, large language models, and advanced machine learning to build a successful, sustainable, and strategic international advertising business for Amazon, from the ground up.

Key job responsibilities

• Design and build large-scale ML infrastructure for online recommendation, ads ranking, personalization, and search — including integrating generative AI and LLM-based approaches to improve ad relevance and customer experience.
• Work with modern AI/ML and Big Data technologies such as AWS (SageMaker, Bedrock, EMR), Spark, PyTorch/TensorFlow, vector databases, LLM serving frameworks, and real-time inference pipelines.
• Drive appropriate technology choices for the business — evaluating when to apply traditional ML vs. foundation models, leading continuous innovation, and shaping the future of India Advertising.
• Follow and contribute to the technical direction of our offerings and solutions, working across the India Advertising organization with many different technologies including LLM orchestration, RAG pipelines, and agentic systems.
• Code, troubleshoot, and support high-volume, low-latency distributed systems — including ML model serving and real-time feature stores.
• Participate in implementing key functional areas of the customer experience, including AI‑powered advertising products, website applications, and platform services.
• Work with the business team and project managers to convert functional requirements into technical features — leveraging AI to accelerate experimentation and delivery.
• Own operating our products, driving excellence in feature stability, performance, flexibility, and responsible AI practices.

Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture 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
• 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

We are an equal opportunity employer. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.