Data Engineer- Customer Recommender
Core
Lead technical direction and execution of machine learning projects to build and deploy production-grade customer recommender systems.
Role type
Senior IC machine learning engineer (MLOps & infrastructure)
Builds
End-to-end machine learning pipelines, APIs, and production ML models for customer recommendations
Domain
Retail / Wholesale / Customer Recommendation Systems
Deliverable
production ML models
Required skills
Python, Go, MLOps, GCP (Cloud Run, Kubernetes, BigQuery, VertexAI), API development, dbt, model optimization, CI/CD
Preferred skills
Mentoring technical teams, ethical AI implementation, bias mitigation
Technologies
GCP, Kubernetes, BigQuery, VertexAI, Cloud Run, dbt, Python, Go
Responsibilities
Design and optimize end-to-end ML pipelines for training, testing, and deployment; Implement monitoring solutions to track model performance and drift; Create and maintain APIs to deliver ML results; Evaluate emerging ML technologies and introduce workflow improvements.
Seniority
Senior, hands-on IC with leadership responsibilities
