Algorithm Development: Design, implement, and optimize computer vision algorithms, ensuring accuracy, efficiency, and scalability.
Data Processing and Preprocessing: Work with large datasets, and perform data cleaning, augmentation, and preprocessing to prepare it for training and evaluation.
Model Training and Evaluation: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to train and evaluate computer vision models. Fine-tune pre-trained models for specific tasks.
Feature Extraction and Object Recognition: Develop techniques for feature extraction, object recognition, and semantic segmentation in visual data.
Real-time Processing: Implement real-time computer vision solutions for applications that require low-latency processing.
Hardware Optimization: Collaborate with hardware engineers to optimize algorithms for specific hardware platforms, ensuring efficient utilization of resources.
Integration and Deployment: Integrate computer vision solutions into existing systems and deploy them in production environments.
Documentation and Reporting: Maintain thorough documentation of algorithms, experiments, and results. Prepare reports and presentations for internal teams and stakeholders.
Stay Updated on Industry Trends: Stay abreast of the latest advancements in computer vision, machine learning, and related fields. Apply cutting-edge research to enhance our solutions.
Qualifications:
Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Strong proficiency in Python, and experience with popular computer vision libraries (OpenCV, Dlib, etc.).
Strong proficiency in GANs ( Generative Adversarial Network Technology )
In-depth knowledge of machine learning and deep learning techniques, particularly in the context of computer vision.
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
Experience with GPU programming and parallel computing is a plus.
Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and scaling computer vision solutions.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.