Mid-level Machine Learning Engineer specializing in MLOps, monitoring, and multimodal AI
Sri already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
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ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.
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