Loops: Integrate observability data into the development cycle to identify bottlenecks, high-latency chains, and model drift...
, evaluation, guardrails, drift monitoring, cost/performance controls). Experience defining semantic/knowledge graph models...
(transmitters, RTDs, process racks, indicators). Conduct statistical/data analysis of instrument drift to evaluate surveillance...
pipelines for ML workflows and automated retraining Monitor model performance and drift using MLOps tools Collaboration...
, and drift detection, including accuracy, latency, bias, and cost metrics. Ensure ML systems adhere to security, privacy...
performance and drift using MLOps tools · Collaboration Communication · Work closely with architects engineers and business...
logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse...
, including monitoring, drift detection, and model evaluation. Experience PhD or Master's in Computer Science, Machine...
pipelines specific to AI (LLMOps), ensuring robust monitoring (including model performance drift and hallucination detection...
and back testing to validate model effectiveness. Apply techniques for model monitoring, drift detection, and retraining...