(intermittent connectivity, low bandwidth, limited compute). Practical experience operationalizing ML systems (monitoring, drift...
strategies. Implement monitoring for data quality, drift, fairness, latency, reliability, and cost;lead incident response...
, drift detection, and retraining 5. Governance, Security & Responsible AI Embed enterprise-grade security, privacy...
: 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...
workloads. AI/ML Ops - Experience operationalizing ML in production: monitoring drift, scaling inference endpoints...
policies, configuration baselines, compliance drift management) across all regions. Plan refresh and lifecycle events...
comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling...
performance, identify drift, and ensure the long-term reliability of deployed AI systems. Required Qualifications: Proven...
drift detection, model retraining Computer Vision: Vision Transformers (ViT), Grad-CAM, explainability techniques Data...
releases, and rollback strategies. Implement monitoring for data quality, drift, fairness, latency, reliability, and cost...