
Machine Learning and Computer Vision Developer
7 hours ago
We are seeking a highly skilled Machine Learning and Computer Vision Engineer with a strong background in developing and deploying machine learning models and computer vision algorithms to solve complex real-world problems.
About the Role- This is an exciting opportunity for a talented engineer to join our team and contribute to the development of innovative solutions using machine learning and computer vision techniques.
- You will be responsible for designing, developing, and optimizing machine learning models for tasks such as object detection, image segmentation, and facial recognition using Python and frameworks like TensorFlow or PyTorch.
- Model Development: Develop and optimize machine learning models for various applications including object detection, image segmentation, and facial recognition.
- Algorithm Implementation: Implement computer vision algorithms using OpenCV and deploy them in production environments ensuring scalability and efficiency.
- Data Processing: Prepare and preprocess large datasets using data augmentation and transformation techniques to enhance model performance.
- Model Evaluation: Evaluate model performance using various metrics and cross-validation techniques to ensure high accuracy and robustness.
- Deployment: Deploy machine learning models in production environments and ensure they are reliable and efficient.
- Collaboration: Work closely with cross-functional teams to integrate models into products and systems providing technical support and troubleshooting as needed.
- Research: Stay up-to-date with the latest advancements in machine learning and computer vision and apply relevant findings to improve existing solutions.
- Documentation: Maintain clear and comprehensive documentation of models, algorithms, and processes to support ongoing maintenance and future development.
- Education: Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Master's degree is an advantage.
- Experience: At least 2 years of experience in machine learning and computer vision with a proven track record of developing and deploying successful models.
- Technical Skills:
- Proficiency in Python and experience with machine learning frameworks like 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.
- Strong programming skills with a focus on clean, efficient, and well-documented code.
- Soft Skills:
- Strong problem-solving abilities and analytical thinking.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work independently as well as in a collaborative team environment.
- Strong organizational skills with attention to detail.
- 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 like Git.
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