We are seeking a highly skilled and experienced Machine Learning Engineer with a strong focus on Computer Vision to join our innovative team. The ideal candidate should possess a deep understanding of machine learning models, particularly in the domain of computer vision, and have hands-on experience with the YOLO (You Only Look Once) object detection framework.
Requirements:
1. Design, develop, and deploy machine learning models for computer vision applications, with a focus on utilizing the YOLO framework.
2. Collaborate with cross-functional teams to understand project requirements, gather data, and define model performance metrics.
3. Pre-process and augment image datasets to enhance model performance and generalization.
4. Train, fine-tune, and optimize YOLO models for various object detection and recognition tasks.
5. Evaluate and select appropriate machine learning models based on project requirements, performance metrics, and computational constraints.
6. Implement and integrate machine learning models into production systems, ensuring scalability and reliability.
7. Monitor and maintain deployed models, performing regular updates and improvements as needed.
8. Stay up-to-date with the latest advancements in machine learning and computer vision, and actively contribute to the development of new techniques and approaches.
9. Document and present findings, methodologies, and results to both technical and non-technical stakeholders.
If you are passionate about leveraging your expertise in machine learning and computer vision to develop cutting-edge solutions, we encourage you to apply for this exciting opportunity.
1. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.2. Minimum of 4 years of professional experience in developing and deploying machine learning models, with a strong emphasis on computer vision applications.3. Extensive knowledge of machine learning concepts, algorithms, and frameworks, including but not limited to CNN, RNN, LSTM, and Transformers.4. Proven track record of selecting and implementing appropriate machine learning models based on project requirements and performance metrics.5. Proficiency in programming languages such as Python, C++, and Java, along with experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.6. In-depth understanding and hands-on experience with the YOLO object detection framework, including training, fine-tuning, and deploying YOLO models for various applications.7. Familiarity with computer vision techniques, including image preprocessing, augmentation, segmentation, and object tracking.8. Strong problem-solving skills and the ability to analyze and optimize model performance.9. Excellent communication and collaboration skills, with the ability to work effectively in a team environment.10. Experience with version control systems (e.g., Git) and collaborative development tools (e.g., Jira, Confluence).