AI/ML Engineer

Job Description

++This job is originally posted on www(.)nejobs(.)co — Jobsite for North East India.++
We are looking for an AI/ML Observability Engineer who will design, build, and maintain end-to-end observability solutions across AI/ML systems, applications, infrastructure, and business data. The role focuses on ensuring reliability, performance, transparency, and actionable insights for production-grade AI/ML and enterprise platforms. ________________________________________ Key Responsibilities • Design and implement observability solutions for AI/ML models, applications, and distributed systems across cloud and on-prem environments. • Develop and engineer AI/ML systems with a strong focus on production readiness, monitoring, and performance optimization. • Instrument applications and services using Open Telemetry to collect logs, metrics, and traces in a standardized and scalable manner. • Build, maintain, and optimize dashboards and alerts using observability tools such as Grafana to provide real-time visibility into system and model health. • Monitor AI/ML model performance, data quality, drift, latency, and failures in production environments. • Automate observability workflows including data collection, anomaly detection, alerting, and remediation processes. • Develop innovative, end-to-end observability frameworks that connect application and infrastructure metrics with business and data outcomes. • Ensure observability across data pipelines, enabling visibility into data freshness, accuracy, completeness, and reliability. • Collaborate closely with engineering, data science, platform, and business teams to identify issues, perform root-cause analysis, and improve system resilience. • Drive best practices for observability, reliability engineering, and continuous improvement across platforms