AI Platform Architect
@
Nokia
We are seeking a skilled Platform Engineer/Architect to lead the setup of on-premise environments for hosting large language models. Requires 7-12 years of experience, expertise in AI/ML infrastructure, Kubernetes, and Python. Nokia offers an inclusive culture and equal opportunities. Salary details not specified.
Nokia
At Nokia, we create technology that helps the world act together.
As a B2B technology innovation leader, we are pioneering the future where networks meet cloud to realize the full potential of digital in every industry.
Through networks that sense, think and act, we work with our customers and partners to create the digital services and applications of the future.
For our latest updates, please visit us online www.nokia.com
To view open positions and to apply, please visit: www.nokia.com/careers
How You Will Contribute And What You Will Learn
- Infrastructure Design and Development:
- Design and architect a scalable and secure on-premise hosting environment for large language models.
- Develop and implement infrastructure automation tools for efficient management and deployment.
- Ensure high availability and disaster recovery capabilities.
- Performance Optimization:
- Optimize the hosting environment for maximum performance and efficiency.
- Implement monitoring tools to track system performance and resource utilization.
- Regularly update the infrastructure to incorporate the latest technological advancements.
- Security and Compliance:
- Establish robust security protocols to protect sensitive data and model integrity.
- Ensure compliance with data protection regulations and industry standards.
- Conduct regular security audits and vulnerability assessments.
- Collaboration and Support:
- Work closely with AI/ML teams to understand their requirements and provide suitable infrastructure solutions.
- Provide technical guidance and support to internal teams and stakeholders.
- Stay abreast of emerging trends in AI infrastructure and large language model hosting.
- Resource Management:
- Manage physical and virtual resources to ensure optimal allocation and utilization.
- Forecast resource needs and plan for future expansion and upgrades
How You Will Contribute And What You Will Learn
- Infrastructure Design and Development:
- Design and architect a scalable and secure on-premise hosting environment for large language models.
- Develop and implement infrastructure automation tools for efficient management and deployment.
- Ensure high availability and disaster recovery capabilities.
- Performance Optimization:
- Optimize the hosting environment for maximum performance and efficiency.
- Implement monitoring tools to track system performance and resource utilization.
- Regularly update the infrastructure to incorporate the latest technological advancements.
- Security and Compliance:
- Establish robust security protocols to protect sensitive data and model integrity.
- Ensure compliance with data protection regulations and industry standards.
- Conduct regular security audits and vulnerability assessments.
- Collaboration and Support:
- Work closely with AI/ML teams to understand their requirements and provide suitable infrastructure solutions.
- Provide technical guidance and support to internal teams and stakeholders.
- Stay abreast of emerging trends in AI infrastructure and large language model hosting.
- Resource Management:
- Manage physical and virtual resources to ensure optimal allocation and utilization.
- Forecast resource needs and plan for future expansion and upgrades