Machine Learning Engineer

We are looking for a Machine Learning Engineer with a strong background in computer vision, machine learning, and software development. You will develop and optimize models for efficient deployment on constrained devices, working on projects ranging from image segmentation to scalable model deployment.

Location: United Arab Emirates
Work Conditions: On-site, Full-time

Key Responsibilities:

• Algorithm Development: Create and optimize computer vision algorithms for tasks like object detection and tracking using TensorFlow and PyTorch.
• Data Handling: Preprocess, augment, and annotate data using tools such as OpenCV and LabelImg.
• Model Training and Evaluation: Train and fine-tune models, evaluating performance with metrics like IoU and Dice Coefficient.
• Model Optimization: Implement quantization techniques to reduce model size and enhance speed, utilizing tools like TensorFlow Lite and NVIDIA TensorRT.
• Deployment and Integration: Deploy models using TensorFlow Serving, Docker, and Kubernetes, ensuring seamless integration across platforms.
• Research and Development: Stay updated with the latest advancements and conduct experiments to improve models.
• Collaboration and Documentation: Work with cross-functional teams and document processes for knowledge sharing.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
• 5+ years of experience in computer vision and machine learning, with proficiency in TensorFlow, PyTorch, and OpenCV.
• Proficiency in Python and C++, with a solid understanding of deep learning architectures, and experience with model deployment and optimization tools.

Language Requirements: Not specified.