Machine Learning Engineer

Required Skills & Experience

6–9+ years of Strong Machine Learning Engineering experience Hands-on anomaly detection and time-series forecasting Strong knowledge of ML algorithms and probabilistic modeling Experience deploying ML models into production Cloud deployment experience, preferably Azure Experience working with infrastructure or system performance data Ideally 2+ years of U.S. industry experience

Nice to Have Skills & Experience

SAP server/infrastructure experience Backend engineering experience Infrastructure, cloud, or observability experience Prior Walmart Experience

Job Description

We are seeking a strong Machine Learning Engineer to build and deploy ML solutions focused on infrastructure monitoring, anomaly detection, and forecasting. This role requires strong algorithmic knowledge and the ability to take ML models from development through production.

Key Responsibilities

Build anomaly detection models for infrastructure metrics such as CPU utilization Develop forecasting models to predict future utilization across environments such as SAP servers Improve static thresholds using ML and historical behavior Apply probabilistic modeling and advanced ML algorithms Build dashboards to visualize anomalies, forecasts, and trends Deploy and maintain ML models in production Deploy solutions within cloud environments, primarily Azure Partner with infrastructure and engineering teams to operationalize ML solutions