01Overview
Job Requirements
- Deep Learning Model Development Design, train, and optimize CNN-based models for classification, object detection, and segmentation using TensorFlow/PyTorch
- Computer Vision Algorithms Develop image processing algorithms using OpenCV for filtering, feature extraction, and measurement and Design and Implement proprietary Computer Vision algorithms
- Camera Calibration & Vision Accuracy Develop Logics for Camera Calibration, Lens Distortion Correction, and coordinate mapping for accurate Vision Guidance Applications and Measurement Systems
- Data Preparation & Annotation Prepare datasets, labeling, and augmentation for training deep learning models
- Model Deployment Deploy trained models into production systems
- Cross-functional Collaboration Collaborate with automation, hardware, and software teams for system integration
- Documentation Document calibration process, models, datasets, and deployment workflows
Work Experience
- B.Tech / BE in Computer Science, Electronics, Mechatronics, or related field
- Strong Proficiency in Python and C++
- To Build foundational methods for traditional Computer Vision Tools
- Hands-on experience with TensorFlow and/or PyTorch in Developing Models, Optimization and Deployement
- Robust understanding of Convolutional Neural Networks (CNNs), Experience with CNN architectures (ResNet, VGG, MobileNet, YOLO, SSD, Faster R-CNN)
- Knowledge of object detection, image classification, and segmentation techniques
- Strong experience with OpenCV and classical image processing and understading of fundamantals
- Understanding in camera calibration techniques (intrinsic/extrinsic parameters, distortion correction) for Vision Guidance, coordinate transformation and Measurement Applications.
- Knowledge of camera pipelines and real-time image acquisition using Gige Vision/GeniCam/USB3.0 Vision Protocols
- Experience with Dataset Preparation, Annotation, and Augmentation Tecchniques
- Familiarity with deploying models on edge devices or industrial systems
- Knowledge of GPU acceleration (CUDA) is an added advantage
- Strong debugging, optimization, and analytical problem-solving skills.
- Understanding of Machine Vision Field - Vision Systems is added advantage. .
