Lead Machine Learning Engineer - Merchandising AI (ML Ops)
Core
Lead the development of agentic AI solutions and production machine learning systems for merchandising, connecting data, tools, APIs, and business rules into end-to-end decisioning workflows.
Role type
Lead Machine Learning Engineer (ML Ops)
Builds
Production ML models and agentic AI decisioning workflows for merchandising
Domain
Retail merchandising, cloud-native ML, Big Data
Deliverable
production ML models
Required skills
Python, end-to-end ML application development, ML Ops, Google Cloud Vertex AI, REST API design, Big Data technologies (Hadoop, Spark, Kafka), Docker, Kubernetes, CI/CD
Preferred skills
MS in CS/Math/Stats/Physics, mentoring engineers, establishing engineering standards
Technologies
Python, Google Cloud Vertex AI, Hadoop, Spark, Kafka, Docker, Kubernetes
Responsibilities
Design and implement production ML solutions, lead development of agentic AI solutions, conduct training sessions and present work to peers, participate in code reviews and create maintainable codebases, mentor engineers
Seniority
Senior, hands-on IC with leadership responsibilities
