AI Platform Engineer
hace 3 días
London
Role: AI Platform Engineer (6-Month Contract) Location: Remote Contract Type: 6-Month Contract Overview We are seeking an experienced AI Platform Engineer to provide Level 1 and Level 2 operational support for our enterprise AI platform. This customer-facing role involves technical troubleshooting, proactive platform management, and close collaboration with vendor engineering teams to ensure seamless and reliable AI platform operations. Key Responsibilities Operational Support • Provide L1 support for customer-reported issues and service requests., • Deliver L2 troubleshooting by diagnosing, replicating, and resolving issues across platform components and underlying infrastructure., • Coordinate L3 escalations with vendor product and engineering teams, tracking responses and resolutions., • Monitor system health, alerts, and customer usage patterns to proactively identify potential issues., • Maintain detailed documentation, knowledge base articles, and support procedures., • Automate recurring operational tasks and fixes to improve efficiency., • Support tooling integration and configuration to enhance monitoring, reporting, and performance., • Assist customers with onboarding, configuration, and platform best practices., • Collaborate with infrastructure, platform, and application teams to resolve integration and interoperability issues., • Ensure adherence to SLAs, uptime targets, and customer satisfaction goals., • Provide reporting on platform usage, workflows, and billing insights for stakeholders. Technical Responsibilities • Cluster Infrastructure Management: Administer and support GPU cluster infrastructure., • High Availability & Resilience: Implement failover and redundancy strategies to ensure minimal downtime., • Resource Optimization: Manage GPU resource partitioning, workload scheduling, and capacity planning., • Performance Monitoring: Utilize HPE tools for real-time monitoring, diagnostics, and tuning., • Incident Response: Address node failures, driver issues, and networking incidents; escalate to vendors when needed., • Security & Access Control: Manage RBAC, user permissions, platform hardening, and data protection measures. Required Skills & Experience • 10 years of experience in technical support, systems engineering, or platform operations., • Strong knowledge of L1/L2 support processes, including ticketing, escalation, and troubleshooting workflows., • Familiarity with cloud-based platforms, APIs, and distributed systems., • Understanding of AI/ML workflows (model training, inference, data pipelines)., • Experience with monitoring and logging tools (e.g., Grafana, Kibana, Splunk)., • Excellent communication and customer engagement skills., • Working knowledge of ML engineering and data science toolchains to optimize user experience. Core Technical Skills • System Administration: RHEL/CentOS, Ubuntu, Linux kernel tuning., • Automation & Orchestration: Ansible, Kubernetes, container management., • GPU & AI Tooling, • Automation, Monitoring & Security: Experience delivering GPU-as-a-Service with appropriate observability and controls.