AI Architecture Intern

About this role

About the role: - Partner with our technical team to create AI system architectures that scale smoothly and perform reliably under real-world demands - Assess what clients need and propose architectural approaches that meet their objectives - Contribute to developing practices, methods, and toolkits that support long-term, sustainable AI development - Study available technologies, libraries, and platforms, then recommend the right fit for each project's scope and growth needs - Learn by doing: work on hands-on projects mentored by experienced AI architects What you'll work on: - Building blocks of machine learning systems: how to structure pipelines, data flows, and model deployment so they work at scale - Real technical challenges: choosing between TensorFlow, PyTorch, and Keras for different use cases; understanding when each shines - System design patterns: how to think about bottlenecks, latency, redundancy, and cost in production AI - Keeping pace with the field: tracking emerging tools, research directions, and industry shifts in AI What we're looking for: - Core knowledge of AI fundamentals, machine learning algorithms, and data structure concepts - Hands-on experience or strong comfort with TensorFlow, PyTorch, or Keras - Code proficiency in Python, Java, or C++ - Genuine interest in how systems are designed, how thinking maps to structure, and building solutions that grow with demand - Awareness of current developments in AI—new frameworks, research breakthroughs, and emerging tools - Capacity to own work solo and also work well with a distributed team - Ability to thrive in a remote setting with self-direction and clear communication