Welcome to Intel, a leading technology company at the forefront of artificial intelligence (AI) innovation. We are seeking a talented AI Container Platform Engineer to join our team and help us drive the development and deployment of cutting-edge AI solutions. As an AI Container Platform Engineer, you will play a crucial role in building and maintaining our AI container platform, enabling our AI teams to rapidly develop and deploy their models and algorithms. We are looking for a highly skilled and passionate individual with a strong background in software engineering, containerization, and AI technologies. If you are driven by a passion for AI and are excited about being part of a dynamic and collaborative team, we want to hear from you!
- Develop and maintain Intel's AI container platform, ensuring it meets the company's high standards for performance and reliability.
- Collaborate with cross-functional teams to understand requirements and design solutions for deploying AI models and algorithms.
- Implement and manage containerization technologies such as Docker and Kubernetes to support the deployment of AI applications.
- Monitor and troubleshoot the AI container platform to identify and resolve any issues that may arise.
- Work closely with AI teams to understand their needs and provide support in developing and deploying their models and algorithms on the container platform.
- Keep up-to-date with the latest developments in AI and containerization technologies, and make recommendations for incorporating new tools and techniques into the platform.
- Develop and maintain documentation for the AI container platform, ensuring it is easily accessible and up-to-date for all users.
- Train and mentor other team members on the AI container platform and containerization technologies.
- Collaborate with DevOps and infrastructure teams to ensure seamless integration between the AI container platform and other systems.
- Implement best practices and security measures to ensure the AI container platform meets industry standards and compliance requirements.
Bachelor's Or Master's Degree In Computer Science, Engineering, Or A Related Field.
Minimum Of 3 Years Of Experience In Developing And Maintaining Ai Container Platforms.
Proficient In Programming Languages Such As Python, Java, Or C++.
In-Depth Knowledge Of Containerization Technologies Such As Docker And Kubernetes.
Familiarity With Ai Frameworks And Libraries, Such As Tensorflow, Pytorch, And Scikit-Learn.
Security
Virtualization
DevOps
Scripting
Docker
Automation
Cloud Computing
Kubernetes
Containerization
Microservices
Infrastructure management
Container Orchestration
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AI Container Platform Engineer in Austin, TX, USA is between $110,000 and $170,000 per year. This range may vary depending on factors such as experience, education, and specific job responsibilities.
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Intel Corp. engages in the design, manufacture, and sale of computer products and technologies. It delivers computer, networking, and communications platforms. It operates its business through the following segments: Client Computing Group, Data Center Group, Internet of Things Group, Non-Volatile Memory Solutions Group, Intel Security Group, and Programmable Solutions.

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