SDE II, Amazon India Ads
Core
Design and build large-scale ML infrastructure for online recommendation, ads ranking, personalization, and search, integrating generative AI and LLM-based approaches.
Role type
Senior IC machine-learning infrastructure engineer (advertising)
Builds
ML model serving, real-time feature stores, LLM orchestration, RAG pipelines, and agentic systems for the India Advertising business.
Domain
Digital advertising, AI/ML, Big Data
Deliverable
production ML models
Required skills
distributed systems design, ML model serving, real-time inference pipelines, LLM orchestration, RAG pipelines, agentic systems, system reliability and scaling, technology evaluation (traditional ML vs foundation models)
Preferred skills
full software development life cycle, coding standards, code reviews, source control management, build processes, testing, operations
Technologies
AWS (SageMaker, Bedrock, EMR), Spark, PyTorch, TensorFlow, vector databases, LLM serving frameworks
Responsibilities
Design and build large-scale ML infrastructure for ads ranking and personalization; drive technology choices between traditional ML and foundation models; code and support high-volume, low-latency distributed systems; implement AI-powered advertising products and platform services; own product stability, performance, and responsible AI practices.
Seniority
Senior, hands-on IC