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
Strong 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
Robust 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
Knowled

📌 TEAL- Computer Vision Engineer (Hosur)
🏢 Titan
📍 Hosur