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Need Applied ML Engineer to design, deploy, and operationalize machine-learning models that power the Decision Engine, enabling intelligent selection of the most relevant decision using real-time and historical data.This role focuses on building and integrating Python-based ML models (e.g., propensity, ranking, uplift, or optimization models), serving models via low-latency APIs, and integrating with feature stores, streaming pipelines (Kafka or equivalent), and decisioning services built in Nod
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Depends on Experience
