Advisory AI Infrastructure Engineer
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The Lenovo AI Technology Center (LATC)—Lenovo’s global AI Center of Excellence—is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI.
We are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us.
Lenovo is seeking a highly skilled AI Infrastructure Engineer / AI Operations Engineer to join our growing team. This critical role will focus on designing, building, and maintaining the infrastructure and tools necessary for efficient AI model development, deployment, and operation. Your expertise will enable our data scientists and engineers to focus on high-priority tasks while ensuring seamless operation of AI models in production. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!
Responsibilities:
- AI Infrastructure Design and Implementation: Design, build, and maintain scalable and efficient AI infrastructure, including compute resources, storage solutions, and networking configurations.
- AI Model Deployment and Management: Develop and implement processes for deploying, monitoring, and managing AI models in production environments.
- Automation and Tooling: Create and maintain automation scripts and tools for AI model training, testing, evaluation, and deployment in a continuous integration / continuous delivery (CI/CD) pipeline.
- Collaboration and Support: Work closely with data scientists, engineers, and other stakeholders to ensure smooth operation of AI systems and provide support as needed.
- Performance Optimization: Continuously monitor and optimize AI infrastructure and models for performance, scalability, utilization, and reliability.
- Security and Compliance: Ensure AI infrastructure and models comply with relevant security and regulatory requirements.
Qualifications:
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Bonus Points:
- Familiarity with AI and machine learning frameworks (e.g., PyTorch).
What we offer:
- Opportunities for career advancement and personal development
- Access to a diverse range of training programs
- Performance-based rewards that celebrate your achievements
- Flexibility with a hybrid work model (3:2) that blends home and office life
- Electric car salary sacrifice scheme
- Life insurance
This role is open for the Edinburgh, Scotland location only. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy).
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