Computer Vision Engineer

Responsibilities

• Algorithm Development: Research, design, and develop computer vision algorithms to solve real-world problems, such as object detection, image segmentation, and feature extraction.
• Data Preprocessing: Prepare and preprocess large datasets for training and testing machine learning models. Implement data augmentation techniques to enhance model performance.
• Machine Learning: Develop and train machine learning models for image recognition, classification, and regression tasks. Fine-tune models to achieve high accuracy and robustness.
• Object Tracking: Implement and optimize object tracking algorithms to monitor and analyze object movements in videos and image sequences.
• Deep Learning: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build and deploy computer vision models. Stay updated with the latest advancements in deep learning techniques.
• Performance Optimization: Optimize computer vision algorithms for real-time processing and efficient resource utilization.
• Collaboration: Collaborate with cross-functional teams, including software engineers and domain experts, to integrate computer vision solutions into products and systems.
• Documentation: Maintain thorough documentation of research, code, and experiments. Communicate findings and results effectively to both technical and non-technical stakeholders.
• Quality Assurance: Conduct rigorous testing and validation of computer vision models to ensure accuracy, reliability, and robustness in various real-world scenarios.

Requirements

• Bachelor's, Master's, or Ph.D. in Computer Science, Computer Vision, Machine Learning, or a related field.
• Strong proficiency in computer vision fundamentals, including image processing, feature extraction, and object detection.
• Proficiency in programming languages such as Python and C++.Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with GPU programming and parallel computing.
• Strong problem-solving skills and the ability to work on challenging and complex tasks.
• Excellent communication and teamwork skills.
• Previous experience with computer vision projects or research is a plus.