Who Are We A research oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery. Essentially, Orbo is creating an amazing domino effect where network providers save extra bandwidth, content provider gets enhanced resolutions and customer gets the best experience. WHY US Join top AI company Grow with your best companions Continuous pursuit of excellence, equality, respect Competitive compensation and benefits You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make camera intelliget and images more informative. To learn more about how we work, please check out https://www.orbo.ai/. Job Scope Design and implement computer vision algorithms to solve problems like image segmentation, image enhancement, and image classification. Exploring the productization of computer vision related technology in different segments like OEM, Ecommerce, Beauty care, etc. What We’re Looking For Alignment with the small close-knit team at ORBO. This is with respect to vision, work culture and other similar aspects Ability to adapt and learn quickly Prior experience in machine learning and image processing/computer vision. Experienced in using C/C++/Python/OpenCV/Open GL and other open-source libraries. Preparation of training dataset, image enhancement, segmentation and classification What We Offer You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and telecom companies. As the team is small, you will easily be able to see the direct impact of what you build on our customers (Trust us - it is extremely fulfilling!) You will be in charge of what you build and be an integral part of the product development process Competitive compensation (Don't worry about this!) (6-14LPA)
1. The candidate should be passionate about machine learning and deep learning.2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.3. Hands-on experience with statistical, machine-learning tools and techniques4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.8. Expert level coding experience in Python.9. Technologies: Backend - Python (Programming Language)10. Should have the ability to think long term solutions, modularity, and reusability of the components.11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.