Machine Learning Engineer

7 months ago


مصر, Egypt On-Hire Full time

1. Design, develop, and deploy machine learning models for computer

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.

**Requirements**:
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

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

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).



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