Computer Vision Intern

Requirements:

• Deep Learning & Computer Vision: Strong foundational knowledge and understanding of these domains.
• Research Implementation: Ability to read, comprehend, and implement research papers effectively.
• Data Structures & Algorithms: Proficiency in core concepts and their applications.
• Programming Skills: Intermediate proficiency in C++, Python, and GIT.
• Deep Learning Frameworks: Hands-on experience with popular Deep Learning frameworks.
• LLMs & RAG: Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
• Nvidia Platforms: Familiarity with the Nvidia Jetson platform is a plus.
• Nvidia SDKs: Knowledge of tools like Nvidia Deep stream and TensorRT is advantageous.

Responsibilities:

You'll:

• Be self-motivated and an individual contributor with resilience and a problem-solving mindset.
• Collaborate with development teams and product managers to proactively understand technical requirements, specifications, and use cases.
• Work as part of agile teams in an agile environment, adhering to development methodologies and technical processes.
• Translate business problems into actionable technical solutions by formulating problems, extracting relevant information, developing models, and piloting solutions through A/B testing.