Nvidia GPU cluster. High availability and resilience: Implement failover strategies and manage maintenance events to minimize downtime. Resource allocation and optimization: Resource partitioning (GPU resources), workload scheduling, capacity planning Performancemonitoring and troubleshooting: Performance analysis, monitoring (Realtime) with available Nvidia and HPE tools Incident response: node failure management, network issues, driver issues, troubleshooting common issues and … processes (ticketing, escalation, troubleshooting) Familiarity with cloud-based platforms, APIs, and distributed systems Understanding of AI/ML concepts and tooling (model training, inference, data pipelines basics) Experience with monitoring/logging tools (e.g., Grafana, Kibana, Splunk) Excellent communication skills to interface with both customers and internal/vendor teams Good understanding of tools requirements for ML engineers and … skills: System administration experience with OS's like RHEL/CentOS, Ubuntu, tuning Linux kernel Proficiency with Ansible, Nvidia and CUDA toolkits, Kubernetes, and container orchestration Understanding of automation, monitoring, and security with GPU as a service Preferred experience Experience supporting HPE PCAI or other AI/HPC infrastructure and platforms. Experience with GPU resource allocation (across instances, GPUs More ❯
SME during bid and proposal development, collaborating with all teams to define scope, effort, and timelines. Represent technology delivery in pitch meetings, positioning Global IT as a trusted partner. PerformanceMonitoring & Continuous Improvement Monitor product performance using analytics and user feedback, driving continuous optimization of platform experience. Lead improvement initiatives to enhance delivery processes, reduce cycle times More ❯
governance across internal and client datasets. Build insightful dashboards, reports, and data visualisations that enable data-driven decision-making. Support AI transformation initiatives through data analysis, telemetry insights, and performance monitoring. Contribute to pre-sales activities, including solution demonstrations, proposal development, and technical estimations. Research and assess emerging BI and AI technologies to drive innovation and enhance data capabilities. More ❯
to-end delivery of major technical projects and programs, ensuring all work aligns with organisational objectives and strategies. Manage project resources, scope, timelines, and budgets to reach quality and performance targets. Mentoring and guiding technical delivery teams to comply with technical standards, frameworks, and best practices in governance. Maintaining thorough, high-quality technical documentation for all programs and projects. … issues promptly when necessary. Address bottlenecks and dependencies across teams efficiently to maintain delivery momentum. Escalate significant risks or issues to senior leadership with actionable recommendations and timely updates. PerformanceMonitoring and Reporting Track and monitor program, project, and budget progress using established metrics, providing regular updates to relevant stakeholders. Ensure accurate and timely completion of project documentation More ❯
