Role overview
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.
What we're looking for
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Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
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Strong proficiency in Python, and experience with popular computer vision libraries (OpenCV, Dlib, etc.).
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Strong proficiency in GANs ( Generative Adversarial Network Technology )
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In-depth knowledge of machine learning and deep learning techniques, particularly in the context of computer vision.
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Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
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Experience with GPU programming and parallel computing is a plus.
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Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and scaling computer vision solutions.
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Strong problem-solving and analytical skills.
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Excellent communication and collaboration abilities.