
Machine Learning Engineer and Computer Vision Specialist
2 days ago
We are seeking a highly skilled professional to develop and deploy machine learning models and computer vision algorithms that solve complex real-world problems. The ideal candidate will be responsible for designing, developing, and optimizing machine learning models, particularly in the field of computer vision.
Responsibilities- Model Development: Design, develop, and optimize machine learning models, particularly in the field of computer vision, for tasks such as object detection, image segmentation, and facial recognition.
- Algorithm Implementation: Implement computer vision algorithms using frameworks such as OpenCV, TensorFlow, PyTorch, or similar.
- Data Processing: Prepare and preprocess large datasets, including data augmentation and transformation techniques to enhance model performance.
- Model Evaluation: Evaluate model performance using various metrics and techniques, including cross-validation, to ensure high accuracy and robustness.
- Deployment: Deploy machine learning models in production environments, ensuring they are scalable, efficient, and reliable.
- 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.
- 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.
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