Principal Data Scientist: Ml Systems & Scalable Infra
Experimentation Jobs
Sunnyvale, California, US
About the Role
A leading tech company in Sunnyvale is seeking a Principal Data Scientist to architect and implement end-to-end machine learning systems. This role involves designing scalable, low-latency model serving infrastructure and building automation solutions for predictive autoscaling and anomaly detection. Ideal candidates will have strong experience in machine learning, data pipelines, and Kubernetes. Join a dynamic team focused on optimizing high-availability environments. #J-18808-Ljbffr
Required Skills
machine learning
data pipelines
Kubernetes
model serving
scalability
Keywords
Principal Data Scientist
ML Systems
Scalable Infra
Autoscaling
Anomaly Detection
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