
AI System Intern
2 weeks ago
Role & responsibilities
You have a passion for learning. You are passionate about the field of large-scale distributed
computing in AI and HPC workloads. You take responsibility for end-to-end outcomes of your
efforts. You want to build scalable and highly performant HPC/AI/Data services with AMD
hardware, software, people, and processes. You have a curiosity to learn and improve scalable
HPC systems. You have significant interest to work across a globally distributed organization.
KEY RESPONSIBILITIES:
• Support and develop existing AI applications both front and backend
• Develop, implement, and maintain GPU-based clusters, ensuring optimal performance
• Administer ML/AI platforms Distributed ML services, LLMs, Vector-DB and AI
inferencing, by managing deployments, resource allocation, monitoring, and security.
• Collaborate with cross-functional teams to address AI infrastructure requirements,
support AI-related projects, and provide technical expertise.
• Monitor and evaluate the performance of AI systems and clusters, ensuring that they
adhere to industry best practices and meet company standards.
• Use AI/ML to continuously improve internal processes and tools
RELEVANT SKILLSETS:
• Proficient in Python and Shell programming
• Experience in GitHub and related code management systems
• Hands on Experience with Linux and Containers
• UI/UX programming experience
• Good verbal and written communication skills
ACADEMIC CREDENTIALS:
• Masters/PHD currently studying Computer Science or related field
Preferred candidate profile
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