AI & ML Engineer
Core
Design, implement, and deploy scalable AI/ML solutions including agentic systems, recommender systems, and forecasting models for the global beauty business.
Role type
Senior IC AI & ML Engineer
Builds
Production-ready AI systems, ML pipelines, APIs, microservices, and reusable engineering platforms.
Domain
Beauty retail / Generative AI & Traditional ML
Deliverable
production ML models | product features | infrastructure
Required skills
Python engineering, GCP Vertex AI, MLOps (CI/CD, IaC), RAG architectures, agent orchestration, security & privacy governance, model monitoring
Preferred skills
Vector databases, recommender systems, LLM evaluation tools, cloud networking, e-commerce/retail domain experience
Technologies
Python, FastAPI, GCP, Vertex AI, LangChain, LangGraph, Terraform, RAGAS, TruLens
Responsibilities
Design and implement agentic systems using RAG and prompt engineering; Build and maintain production ML pipelines for non-GenAI use cases; Develop APIs and microservices ensuring scalability and observability; Implement CI/CD and infrastructure as code; Establish guardrails for safe AI usage; Contribute to reusable components and best practices
Seniority
Senior, hands-on IC