Data Science and AI Engineer, SEAA
Core
Design and deliver AI products and advanced analytics solutions to transform data into business value across CRM, retail, merchandising, marketing, and operations.
Role type
Senior IC Data Science and AI Engineer (GenAI & ML)
Builds
Production ML models, GenAI applications, and scalable data science pipelines for luxury retail clients
Domain
Luxury retail, CRM, and marketing analytics
Deliverable
production ML models | product features
Required skills
Python, PyTorch, TensorFlow, Docker, Kubernetes, Git, A/B testing, Responsible AI principles
Preferred skills
GenAI techniques (prompt engineering, RAG, embeddings), vector databases, Azure AI Foundry, LangChain, Cursor, GitHub Copilot
Technologies
Python, PyTorch, TensorFlow, Docker, Kubernetes, Git, Azure Machine Learning, AWS SageMaker, Databricks, LangChain, LangGraph, vector databases
Responsibilities
Design and build machine learning and statistical models for business questions; develop reusable data science workflows and feature engineering logic; prototype and develop Generative AI solutions using LLMs and RAG; define test-and-learn approaches to validate recommendations; support deployment and monitoring of ML solutions into production; ensure responsible AI practices including data privacy and explainability
Seniority
Senior, hands-on IC