AIML Engineer

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 workflows where applicable. Required Skills: ·5 years of experience in Python using common data science libraries such as scikit-learn and Databricks. · 3 year...