Sage IT INC
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
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