Senior Machine Learning Engineer
职位介绍
Design and deploy production-grade machine learning models for telemetry data, focusing on anomaly detection and predictive maintenance at scale.
Build real-time telemetry tooling and dashboards to surface efficiency metrics and long-term trends for operations and product teams.
Develop forecasting and simulation models to support global capacity planning and resource optimization across distributed systems.
Analyze complex datasets to determine optimal training and optimization strategies, translating insights into concrete engineering actions.
Collaborate with infrastructure, platform, and product teams to integrate ML capabilities across products and services.
Operate in a fast-paced environment using Python and ML frameworks (TensorFlow, PyTorch), with experience in time series analysis and cloud technologies (AWS, Kubernetes).
Build real-time telemetry tooling and dashboards to surface efficiency metrics and long-term trends for operations and product teams.
Develop forecasting and simulation models to support global capacity planning and resource optimization across distributed systems.
Analyze complex datasets to determine optimal training and optimization strategies, translating insights into concrete engineering actions.
Collaborate with infrastructure, platform, and product teams to integrate ML capabilities across products and services.
Operate in a fast-paced environment using Python and ML frameworks (TensorFlow, PyTorch), with experience in time series analysis and cloud technologies (AWS, Kubernetes).
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