of what “success†means beyond “alive,†including how stability, drift, and failure are measured over time Identification..., characterization, and mitigation of long-horizon failure modes (e.g., drift, inflammation, hemolysis, interface breakdown) Design...
apply the DoD STIG and baseline to C2BMC systems Track and remediate any compliance drift on an ongoing basis Configuration...
. Create scalable inference endpoints using Azure Functions, Container Apps, or APIM. Implement monitoring for model drift...
model-output validation, data drift detection, and analytics accuracy checks. Experience using k6 for API performance, load...
loss, timing drift, flow indexing issues, clock synchronization, and performance bottlenecks. Monitoring device health...
: Apply decision trees, random forests, and gradient boosting to recommend evidence-based root causes. Compliance Drift & Model... Monitoring: Establish continuous monitoring for deployed models to detect input data drift, label shift, performance decay...
without prompt logic - requiring careful threshold setting, false positive/negative analysis, and drift tracking. 2. At-Scale...
. Eliminate METRC drift, process gaps, and human-error dependency. 👥 Retail Team Leadership Lead and manage inventory teams...
-inference drift and ensure reliable outcomes. Hands-on experience with at least three of the following: PyTorch/TensorFlow...., RAG pipelines, personalization engines, generative content services-complete with drift/cost/latency monitoring, automated...
, model drift, and privacy or ethical issues;Analyzing competitive landscapes and customer feedback to influence product...