Dubai - Onsite - AI AND MACHINE LEARNING ENGINEER

• Developing and implementing machine learning algorithms and computer vision techniques to solve complex problems.
• Utilizing OpenCV and image processing techniques to preprocess and analyze image and video data.
• Understanding analyzing and implementing different machine learning algorithms for tasks such as object detection classification and segmentation.
• Demonstrating expertise in YOLO vision transformers and convolutional neural networks (CNNs) for computer vision tasks.
• Deploying full pipelines using Triton and Deep Stream for efficient and scalable inference.
• Leveraging familiarity with large language models (LLMs) to enhance computer vision models and systems.
• Conducting independent research to stay uptodate with the latest advancements in the field of computer vision and machine learning.
• Proposing innovative solutions and exploring various opensource libraries on GitHub to accelerate development processes.
• Collaborating with crossfunctional teams to drive successful project outcomes.
• Conducting experiments performing model evaluations and iterating on designs to improve the accuracy and performance of computer vision systems.
• Documenting and presenting research findings methodologies and implementation details to both technical and nontechnical stakeholders.

• Strong proficiency in OpenCV and image processing techniques.
• Indepth knowledge and practical experience with machine learning algorithms and frameworks.
• Expertise in YOLO vision transformers and convolutional neural networks (CNNs) for computer vision tasks.
• Experience deploying models using Triton and Deep Stream.
• Familiarity with large language models (LLMs) and their applications in computer vision.

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