Machine Learning Intern

1. About Eagle Eye Networks:

Eagle Eye Networks is the world's leading cloud video surveillance platform. Powered by an ever-evolving set of powerful AI and analytics, our open platform provides global security, instantaneous visibility, and customizable insights directly to our customers on the Web, Desktop, and Mobile.

1. Overview:

Eagle Eye Networks leverages AI models that handle a variety of use cases. As a Machine Learning Intern, you would be exposed to the AI model development workflow, where you will play a role in developing AI models based on SOTA (State of the Art) Architectures in the domain of Computer Vision.

1. Detailed roles and responsibilities

• Study and understand SOTA architectures for Vision Foundation models and VLMs.
• Work on scripting and prompt engineering for data curation and data augmentation.
• Create or modify available training setups to support training and inference of these models.
• Data visualization through t-SNE, Embeddings, and clustering.
• Work with data labeling teams to handle annotation metadata for your datasets.
• Learn all aspects of the ML Flow cycle, including training, preprocessing, model versioning, annotation tools, and model conversions/postprocessing.

1. Desired Skills:

• Ongoing Bachelor's or Master's Degree in Computer Science or related disciplines.
• Familiarity with VLMs/LLMs.
• Strong theoretical and prior experience of using CNNs and Transformers in any institute/personal/internship project
• Fluency in Python Programming.
• Working knowledge of C/C++ is desirable.
• Familiarity with ML Frameworks like Pytorch, TensorFlow, etc.
• Strong background in Mathematics and Statistics.
• Sharp problem-solving skills and the ability to resolve ambiguous requirements
• Familiarity with Docker.

1. Eagle Eye Engineering:

Our engineering teams take products from ideation through development and deployment. Businesses all over the world trust us to operate in real time as our solutions gather, process, view, and add insight to petabytes of real-time video, all hosted in our own secure data centers.. No matter if you wish to develop lightweight microservices, groundbreaking AI, or delightful web or mobile user experiences, we have a challenge for you.