Machine Learning Engineer, Advertising & Marketing Performance Intelligence
Core
Build and scale ML/GenAI infrastructure and automated decision-making systems for advertising and marketing personalization.
Role type
Senior Machine Learning Engineer (ML Infrastructure & GenAI)
Builds
Production-grade distributed training systems, ML/LLM infrastructure, and automated marketing communication pipelines.
Domain
Advertising, Marketing, Cloud Infrastructure, Generative AI
Deliverable
production ML models | infrastructure
Required skills
Machine learning, data mining, information retrieval, statistics, natural language processing, system design, software development
Preferred skills
Full software development lifecycle, large-scale ML infrastructure for recommendation/ads/search, cloud architecture
Technologies
AWS Bedrock, SageMaker, Hugging Face, LangChain, vector databases, RAG, Agentic AI, Qwen, Claude, Mistral
Responsibilities
Design and maintain large-scale distributed training systems; optimize AWS AI/ML infra costs and GPU utilization; develop monitoring and debugging tools for training workflows; collaborate on prototyping and evaluating new GenAI/ML models; create reusable technical assets for ML adoption.
Seniority
Senior, hands-on IC
