AI Infrastructure Engineer

Analyze requirements for AI system scalability and performance.
Develop infrastructure to support large-scale AI training and deployment.
Utilize AI tools to optimize computational efficiency.
Collaborate with engineering teams to ensure system reliability.
Communicate technical designs to stakeholders.

Proficiency in Python, Linux, and containerization tools like Kubernetes.
Solid understanding of distributed computing systems.
Knowledge of cloud platforms like GCP or Azure.
Excellent problem-solving and technical skills.
Bachelor's or Master's in Computer Science, AI, or related field.