Medior Machine Learning Engineer Retail Media (Python, Spark, MLOps)
Core
Building scalable machine learning solutions to optimize and predict the performance of retail media propositions across online, in-store, and cross-channel campaigns.
Role type
Medior Machine Learning Engineer (Retail Media)
Builds
Production ML models for forecasting, optimization, and performance prediction within the retail media landscape.
Domain
Retail Media / E-commerce / Food Retail
Deliverable
production ML models
Required skills
Python development, MLOps and model lifecycle management, Spark and big data technologies, Docker and Kubernetes, API development, Solution Design & Architecture, analytics and experimentation
Preferred skills
Experience in commercial or retail contexts
Technologies
Python, Spark, Docker, Kubernetes
Responsibilities
Design, test, and build scalable ML solutions; translate stakeholder requirements into technical solutions; develop and maintain production ML solutions including monitoring and re-training; collaborate with Data Scientists and Analysts to operationalize models; contribute to the development of existing ML platforms; think about architecture and scalability of ML solutions.
Seniority
Medior, hands-on IC
