Senior Machine Learning Engineer
Core
Own the end-to-end machine learning lifecycle, building scalable recommendation systems and near-real-time feature pipelines.
Role type
Senior Machine Learning Engineer
Builds
Scalable recommendation systems and near-real-time feature pipelines
Domain
Big data and stream-processing technologies
Deliverable
production ML models
Required skills
Python, Java, Golang, Scala, Spark, Kubernetes, Grafana, Prometheus, CloudWatch, model versioning, feature stores, drift monitoring
Preferred skills
API performance monitoring, automated remediation, resource allocation and scaling
Technologies
Spark, Kubernetes, Grafana, Prometheus, CloudWatch
Responsibilities
Design low-latency caching and storage solutions for real-time recommendations, Develop scalable ML architectures and production deployment workflows, Implement API performance monitoring and fault detection systems, Evaluate technologies and influence architecture decisions, Collaborate with product managers and cross-functional teams
Seniority
Senior, hands-on IC
