
Advanced Computer Vision and Machine Learning Specialist
4 days ago
We are seeking a highly skilled professional to fill a critical role in our team.
- This is a unique opportunity for an experienced engineer with expertise in machine learning, computer vision, and software development to join our organization and contribute to the success of our projects.
- Develop and optimize machine learning models, specifically in the field of computer vision, for tasks such as object detection, image segmentation, and facial recognition.
- Implement computer vision algorithms using frameworks such as OpenCV, TensorFlow, PyTorch, or similar.
- Prepare and preprocess large datasets, including data augmentation and transformation techniques to enhance model performance.
- Evaluate model performance using various metrics and techniques, including cross-validation, to ensure high accuracy and robustness.
- Deploy machine learning models in production environments, ensuring they are scalable, efficient, and reliable.
- Collaborate closely with cross-functional teams to integrate models into products and systems, providing technical support and troubleshooting as needed.
- Stay current with the latest advancements in machine learning and computer vision, applying relevant findings to improve existing solutions.
- Maintain accurate and comprehensive documentation of models, algorithms, and processes to facilitate ongoing maintenance and future development.
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field.
- At least 3 years of experience in machine learning and computer vision, with a proven track record of developing and deploying successful models.
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
- Strong understanding of computer vision techniques and libraries like OpenCV.
- Experience with deep learning techniques, including convolutional neural networks (CNNs) and transfer learning.
- Familiarity with cloud platforms and experience deploying models in production environments.
- Excellent programming skills with a focus on clean, efficient, and well-documented code.
- Experience with edge computing and deploying models on edge devices.
- Knowledge of reinforcement learning, GANs, or other advanced machine learning techniques.
- Familiarity with version control systems such as Git.
We are committed to fostering a culture of innovation and excellence. If you have the skills and passion to drive success, we encourage you to apply.
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