AI Infrastructure Engineer and Project Manager

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. General Information Req #: WD00076655 Career area: Sales Support Country/Region: United Kingdom State: Hampshire City: Farnborough Date: Friday, December 27, 2024 Working time: Full-time Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Description and Requirements You as AI Infrastructure engineer and project manager will install, configure, and deploy the tested and validated AI-based Proof of Concepts (PoCs) into full production environments for enterprise customers. You will focus on deploying the Nvidia AI Enterprise solutions on Lenovo hardware and ensuring seamless, scalable, and robust production implementations. Your responsibilities : Lead end-to-end transitions of AI PoCs into production environments, managing the entire process from testing to final deployment. Configure, install, and validate AI systems using key platforms, including: VMware ESXi and vSphere for server virtualization, Linux (Ubuntu/RHEL) and Windows Server for operating system integration. Use Docker and Kubernetes for containerization and orchestration of AI workloads. Conduct comprehensive performance benchmarking and AI inferencing tests to validate system performance in production. Optimize deployed AI models for accuracy, performance, and scalability to ensure they meet production-level requirements and customer expectations. Serve as the primary technical lead for the AI POC deployment in enterprise environments, focusing on AI solutions powered by Nvidia GPUs. Lead technical optimizations aimed at resource efficiency, ensuring that models are deployed effectively within the customer's infrastructure. Ensure the readiness of customer environments to handle, maintain, and scale AI solutions post-deployment. Collaborate with stakeholders, including cross-functional teams (e.g., Lenovo AI BDMS, solution architects), customers, and internal resources to coordinate deployments and deliver results on schedule. Develop and deliver detailed documentation for each deployment, covering installation procedures, system configurations, and validation reports. Maintain ongoing, transparent communication with all relevant stakeholders, providing updates on project status and addressing any issues or changes in scope. What do you need to succeed in this opportunity: Minimum 5+ years of experience in deploying AI/ML models using Nvidia GPUs in enterprise production environments. Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in AI infrastructure deployment is an advantage. Demonstrated success in leading and managing complex AI infrastructure projects, including PoC transitions to production at scale. Experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow. Good understanding of virtualization and containerization technologies to ensure robust and scalable deployments. Proficiency in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments. What do we offer : Holiday purchase Private medical Income protection Attractive pension scheme Positive work life balance Learning and development Life insurance Lenovo and Motorola products discounts Lifestyle discounts Cycle to work MyGymDiscounts Mortgage advice and support Referral bonus Electric car salary sacrifice scheme Free onsite parking * This role requires the ability and willingness to travel up to 50% of the time to collaborate with clients on-site during PoC testing, system deployment, and production rollouts. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

#J-18808-Ljbffr