About the work from home job/internship
Selected intern's day-to-day responsibilities include:
1. Assist in developing and implementing cutting-edge computer vision algorithms and models using frameworks such as TensorFlow, PyTorch, or OpenCV
2. Develop and maintain backend services using Python and FastAPI, ensuring high performance, scalability, and robustness
3. Deploy computer vision applications on edge devices like Raspberry Pi, and Nvidia Jetson fleet of devices, optimizing for hardware constraints and leveraging acceleration libraries like OpenCV and TensorFlow Lite
4. Implement and optimize computer vision tasks such as image preprocessing, object detection, segmentation, and classification
5. Utilize Docker for containerization to ensure consistent and efficient deployment of applications across various environments
6. Explore and implement vector similarity search techniques to enhance product offerings
7. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to solve complex technical challenges and achieve project milestones
8. Maintain and update comprehensive project documentation, ensuring clarity, completeness, and accessibility for team members
9. Participate in code reviews, providing and receiving constructive feedback to improve code quality, maintainability, and performance
Skill(s) required
C++ Programming
Computer Vision
Deep Learning
Docker
OpenCV
Python
Raspberry Pi
Earn certifications in these skills
Who can apply
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 7th Jun'24 and 12th Jul'24
3. are available for duration of 6 months
4. have relevant skills and interests
Other requirements
1. Experience with C++ for performance-critical components in computer vision applications (not required to be an expert, but a valuable skill)
2. Hands-on experience with Raspberry Pi, and Nvidia Jetson projects, including deployment and optimization of AI models
3. Familiarity with NVIDIA DeepStream, Triton server, TensorRT, and other NVIDIA frameworks for deploying AI models on edge devices
4. Experience with version control systems like Git, including branching, merging, and pull request workflows
5. Prior experience deploying machine learning models to production environments, including model serving and scaling
6. Participation in relevant competitions or hackathons (e.g., Kaggle) demonstrating practical skills and innovation in computer vision tasks
Perks
Certificate
5 days a week
Job offer
Number of openings
1
About Wobot Intelligence Private Limited
Wobot.ai is AI-powered video analytics and process compliance company that analyzes camera feeds for compliance of regulatory and other SOPs for other businesses. We help in reducing the risk of non-compliance, cost of monitoring, and increasing customer NPS. We see cameras as the third eye for enabling remote monitoring of businesses and processes. Our vision is to build technology that enables complete automation of process compliance monitoring. We aim to become an AI-supervisor tool that not only provides notifications of violations but also provides a pat on the back when it comes to doing the right thing. Our mission is to deliver highly accurate models at economical costs with an exceptional user experience. Our clients include IRCTC, Barista, Rebel Foods, Kitopi, Blue Tokai, Cure.fit, and many more. Our investors are Sequoia and Titan Capital.
