Dubai - Onsite - AI AND MACHINE LEARNING ENGINEER

4 weeks ago


dubai, United Arab Emirates K20S Kinetic Technologies Private Limited Full time
Job Title: AI AND MACHINE LEARNING ENGINEER
Location: Dubai (Onsite)Experience: 5 yearsContract Duration: 1 yearAge: 38-45 yrs
Company Overview:
K20S Kinetic Technologies Private Limited is a leading technology company operating in the AI and machine learning industry. We are committed to developing innovative solutions that have a significant impact on various sectors.
Role and Responsibilities:
We are looking for an experienced AI and Machine Learning Engineer to join our team in Dubai onsite. The ideal candidate will be responsible for developing and implementing cutting-edge machine learning algorithms and computer vision techniques.
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 up-to-date with the latest advancements in the field of computer vision and machine learning.Proposing innovative solutions and exploring various open-source libraries on GitHub to accelerate development processes.Collaborating with cross-functional 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 non-technical stakeholders.
Candidate Qualifications:
The ideal candidate should hold a Bachelors or masters degree in computer science electrical engineering data science or a related field. They should also have proven experience as a Machine Learning Engineer or similar role with a focus on computer vision.
Required Skills:
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.ai and machine learning engineer, artificial intelligence, opencv, machine learning, cnns, llms
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