Computer Vision Engineer
Summary
SwitchOn, a Series-A funded startup in Bangalore, is hiring a Computer Vision Engineer to design, develop, and deploy deep learning models for real-time intelligent visual quality inspection in manufacturing. The core stack is Python, PyTorch/TensorFlow, and OpenCV, with optimization tools like CUDA, ONNX, and TensorRT for real-time inference.
- Design, develop and deploy Computer Vision and Deep Learning algorithms for challenging scenarios in Intelligent Visual Quality Inspection.
- Develop and optimize deep learning models using Convolutional neural networks, object detection frameworks, and segmentation techniques.
- Optimize model performance for real-time inference while maintaining high accuracy standards.
- Research and prototype novel approaches to handle real world challenging scenarios like varying lighting conditions, surface reflections, and complex geometric patterns.
- Collaborate with cross-functional teams to swiftly execute projects.
- Take full ownership of projects and drive them to success.
Requirements
- Bring 2-6 years of hands-on experience in deep learning and computer vision, backed by a track record of impactful industry projects or academic publications.
- Proficient in Python with strong software engineering practices.
- Previous exposure to real-world datasets in an industrial setting is a big plus.
- Demonstrate a profound understanding of deep learning and computer vision fundamentals.
- Showcase your expertise in developing algorithms for image processing, content-based image analysis, object detection, segmentation, and beyond.
- Solid understanding of deep learning frameworks such as Pytorch, Tensorflow, etc.
- Hands-on experience with OpenCV for image processing, feature extraction and traditional computer vision techniques.
- Excellent programming skills in Python.
- Familiarity with Cuda, Model Quantization and Optimization, (ONNX, TensorRT) will set you apart.
- Willingness to pick up novel tasks and find novel solutions.
- Proficiency with version control systems like Github or Bitbucket.
- Comfortable with Docker.
Benefits
- Flexible Working Hours
- Comprehensive Health Insurance
- Lunch on Us
- Gaming Zone with PS5