Found Description
Skill-
AIML Engineer
Total Experience -3-7yrs
Mode
- Hybrid
JD:
Key Responsibilities:
AI Ops & Observability
· Design, implement, and operate
AI‑driven monitoring and observability solutions
across application, infrastructure, and network layers.
· Able to build
AI‑based anomaly detection
for metrics such as traffic patterns, error rates, latency, and infrastructure capacity.
· Integrate observability platforms such as
Dynatrace, Splunk, OpenTelemetry , and custom metrics pipelines for AI monitoring and insights.
· AI‑enabled alert reduction and error detection
Automation & Intelligent Operations
·Develop
AI‑powered automation
to reduce operational toil, manual triage, and repetitive tasks.
· Implement
alert reduction, intelligent correlation, and RCA automation
for production incidents.
·Enable
self‑healing and auto‑remediation<...
AIML Engineer
Total Experience -3-7yrs
Mode
- Hybrid
JD:
Key Responsibilities:
AI Ops & Observability
· Design, implement, and operate
AI‑driven monitoring and observability solutions
across application, infrastructure, and network layers.
· Able to build
AI‑based anomaly detection
for metrics such as traffic patterns, error rates, latency, and infrastructure capacity.
· Integrate observability platforms such as
Dynatrace, Splunk, OpenTelemetry , and custom metrics pipelines for AI monitoring and insights.
· AI‑enabled alert reduction and error detection
Automation & Intelligent Operations
·Develop
AI‑powered automation
to reduce operational toil, manual triage, and repetitive tasks.
· Implement
alert reduction, intelligent correlation, and RCA automation
for production incidents.
·Enable
self‑healing and auto‑remediation<...