Senior Machine Learning ML Engineer Product
Core
Building the predictive 'brain' of a Data & Insights platform for fashion brands, focusing on demand forecasting, reducing overstock, and generative AI recommendations.
Role type
Senior individual contributor machine learning engineer (forecasting & generative AI)
Builds
Production-grade ML systems for demand forecasting, time-series analysis, and generative AI workflows (RAG) for fashion retail clients.
Domain
Fashion retail / Ecommerce / SaaS
Deliverable
production ML models
Required skills
Python, Pandas, Scikit-learn, PyTorch, LLM orchestration, RAG implementation, MLOps, time-series modeling, data engineering fundamentals
Preferred skills
Experience with modern ML ecosystem, pragmatic technical decision-making in product environments
Technologies
Python, Pandas, Scikit-learn, PyTorch
Responsibilities
Design and implement time-series models for demand and sales forecasting; Build generative AI workflows for data interpretation and recommendations; Own production ML systems including training, evaluation, deployment, and monitoring; Implement context-aware AI (RAG) incorporating client-specific data; Collaborate with Analytics Engineers on data foundations.
Seniority
Senior, hands-on IC