Job Description :
Job Description:, , ALL CAPS, NO SPACES B/T UNDERSCORES, , Bill Rate: 70 - 90, , , PTN_US_GBAMSREQID_CandidateBeelineID, , i.e. PTN_US_9999999_SKIPJOHNSON0413, , MSP Owner: William Bristol, Location: MSP, Duration: 6 months, , GBaMS ReqID: 10204878, , , Experience: 10+ yrs, Role Description:, Observability for AI/ML systems and pipelines, Monitoring model performance, data drift, inference latency, and pipeline health, Building dashboards and alerts tailored to AI workloads, Applying ML techniques for anomaly detection and predictive monitoring, , Profiles can be shared with Inayath for internal evaluation., , , Roles & Responsibilities, Skills:, AI/ML lifecycle understanding, Tools like Datadog, Grafana, ELK, OpenTelemetry, Experience with AI observability platforms and custom metrics, Integration with CI/CD for model deployment monitoring, Job Description:, Develop and implement observability frameworks tailored for AI/ML systems and pipelines., Hand on expertise in Datadog, A e Analytics, Dynatrace, ELK, Grafana, ELK Stack, OpenTelemetry, and AI-powered analytics platforms., Implement distributed tracing, log aggregation, and anomaly detection using AI/ML techniques., Create AI based dashboards and visualizations for real-time system health and performance metrics., Integrate observability into CI/CD pipelines and collaborate with DevOps and SRE teams, Provide training and documentation on AI observability tools and best practices., Comments for Suppliers:, Rate Details