Job Description

Responsibilities

• Collaborate with cross-functional teams to understand the unique technical requirements of various AI research projects and translate them into infrastructure design and implementation plans.
• Lead the configuration and deployment of hardware resources.
• Design and implement software stacks and tools required for AI research, ensuring seamless integration with the infrastructure.
• Oversee the implementation and management of virtualization and containerization technologies to optimize resource utilization.
• Collaborate with security and compliance teams to enforce data security measures within the AI laboratory environment.
• Monitor the performance, availability, and scalability of the AI infrastructure, proactively identifying and addressing any issues.
• Stay updated on emerging trends and advancements in AI hardware and software, providing recommendations for continuous improvement.
• Mentor and guide junior engineers, providing technical leadership, knowledge sharing, and fostering a culture of innovation.
• Collaborate with external vendors and partners to evaluate new technologies and solutions that enhance the AI infrastructure.
• Maintain thorough documentation of infrastructure configurations, processes, and best practices.
• Implement automation and orchestration solutions to streamline infrastructure provisioning and management.
• Contribute to strategic planning for the expansion and enhancement of the AI laboratory\'s infrastructure capabilities.

Requirements

• Bachelor\'s degree in Computer Science, Information Technology, or a related field.
• [5+] years of experience in designing, deploying, and managing infrastructure for AI research or related technical fields.
• Familiarity with virtualization, containerization, and cloud computing technologies.
• Expertise in network configuration, security protocols, and compliance measures in technical environments.
• Strong knowledge of hardware components used in AI research, including GPUs, TPUs, and other accelerators.
• Proficiency in AI software frameworks and tools (e.g., TensorFlow, PyTorch) and their integration with infrastructure is preferred.
• Proven track record of implementing automation and orchestration tools to enhance infrastructure operations.
• Strong problem-solving skills and the ability to troubleshoot complex technical issues.
• Excellent teamwork and communication skills, with the ability to collaborate effectively across disciplines.
• Project management experience, including managing timelines, resources, and deliverables

Shortlisted candidates will be offered a 2 Years Direct Contract employment.

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