AI and Machine Learning Engineer Dubai UAE

Position: AI and Machine Learning Engineer

Date posted: 2023-12-07

Industry: other

Employment type: Full Time

Experience: 5 plus year

Qualification: Bachelor’s Degree holder

Salary: AED 5000  to 10000

Location: Dubai, United Arab Emirates

Company: Confidential

Description:

Hiring AI and Machine Learning Engineer.

• Location: Dubai (Onsite)
• Experience : 5+ years
• Contract Position : 1 year (extendable)

Responsibilities:

• Develop and implement machine learning algorithms and computer vision techniques to solve complex problems.
• Utilize OpenCV and image processing techniques to preprocess and analyze image and video data.
• Understand, analyze, and implement different machine learning algorithms for tasks such as object detection, classification, and segmentation.
• Have a deep understanding of YOLO, vision transformers, and convolutional neural networks (CNNs) for computer vision tasks.
• Deploy full pipelines using Triton and DeepStream for efficient and scalable inference.
• Leverage your familiarity with large language models (LLMs) to enhance computer vision models and systems.
• Conduct independent research to stay up-to-date with the latest advancements in the field of computer vision and machine learning.
• Propose innovative solutions and explore various open-source libraries on GitHub to accelerate development processes.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to drive successful project outcomes.
• Conduct experiments, perform model evaluations, and iterate on designs to improve the accuracy and performance of computer vision systems.
• Document and present research findings, methodologies, and implementation details to both technical and non-technical stakeholders.

Requirements:

• Bachelor’s or master’s degree in computer science, electrical engineering, data science or a related field.
• Proven experience as a Machine Learning Engineer or similar role with a focus on computer vision.
• Strong proficiency in OpenCV and image processing techniques.
• In-depth 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 DeepStream.
• Familiarity with large language models (LLMs) and their applications in computer vision.
• Strong programming skills in languages such as Python, C++, or Java.
• Proficiency in using popular machine learning libraries and frameworks, such as TensorFlow or PyTorch.
• Ability to think independently, conduct research, and propose innovative solutions to complex problems.
• Strong problem-solving skills and the ability to analyze and interpret data.
• Excellent communication skills and the ability to collaborate effectively with cross functional teams.
• Demonstrated ability to explore and utilize open-source libraries on GitHub.
• Strong attention to detail and ability to deliver high-quality work within specified timelines.