76 to 100 of 922 Permanent Datadog Jobs

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

architect secure, performant, and highly available cloud solutions. Proficiency with monitoring and log analytics tools such as AWS CloudWatch, ELK Stack, Prometheus, Grafana, Datadog, or New Relic, to maintain observability and ensure operational excellence. Demonstrated leadership skills in managing complex, high‐pressure situations and guiding teams through incident resolution. Exceptional ...

architect secure, performant, and highly available cloud solutions. Proficiency with monitoring and log analytics tools such as AWS CloudWatch, ELK Stack, Prometheus, Grafana, Datadog, or New Relic, to maintain observability and ensure operational excellence. Demonstrated leadership skills in managing complex, high‐pressure situations and guiding teams through incident resolution. Exceptional ...