AI-Ops Engineer

At Staffworxs, we don't just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice helps drive growth and innovation for leading global brands who continue to rely on us as their trusted partner. If you're ready to make an impact, you're in the right place. Job Title: AI-Ops Engineer Location: Atlanta, GA (Hybrid) Duration: 6+ Months Contract Pay Rate: Open (DOE) Client Industry: Aviation Responsibilities AIOps Platform Management • Oversee and enhance AIOps platforms to automate IT operations and deliver operational analytics. • Leverage AI/ML models to drive actionable insights and improve performance. MLOps Implementation • Implement ML models within IT operations for predictive analytics, anomaly detection, and RCA. • Collaborate with data science teams to operationalize models for continuous improvement. Cloud Infrastructure (AWS) • Build and manage scalable cloud solutions using AWS (Lambda, Glue, S3, Kinesis, SageMaker, CloudWatch). • Enable seamless hybrid integration between on-prem and AWS environments. IT Operations Tools • Administer and optimize platforms like QuantumMetrics, Dynatrace, ServiceNow CMDB, and Riverbed. • Integrate tools to ensure end-to-end observability and performance monitoring. API Development & Integration • Design and implement REST/GraphQL APIs for event-driven and integrated system architectures. • Ensure smooth data and process flow between internal and external systems. Observability & Monitoring • Deploy and manage observability frameworks and performance monitoring tools. • Identify trends and improvement areas to ensure maximum uptime and reliability. Problem Solving & Optimization • Apply data-driven strategies to resolve operational bottlenecks and inefficiencies. • Deliver actionable recommendations for operational excellence. Automation & Discovery • Leverage auto-discovery and CMDB-driven automation frameworks to enhance infrastructure visibility and efficiency. Cross-Functional Collaboration • Partner with Operations, Cloud, and Security teams to deploy and scale AIOps initiatives. • Act as the liaison to ensure business alignment and seamless execution. AIOps Evangelism • Advocate AIOps adoption across teams by communicating value and ROI. • Present insights through clear, data-backed storytelling to influence stakeholders. Continuous Innovation • Stay ahead of emerging trends in AIOps, ML, and cloud technologies to drive innovation and performance improvement.