AI Engineer

1 week ago

Dubai, Dubai, United Arab Emirates U X E SECURITY SOLUTIONS L.L.C Full time

Job Description (AI Engineer):

Position Summary:
As an AI Engineer at UXE, you will be responsible for designing, developing, and deploying cutting-edge AI systems with a primary focus on computer vision applications. You will work closely with our data science, engineering, and product teams to create efficient, scalable, and high-performance AI solutions that drive our products and services.

Key Responsibilities:

  • Develop and Optimize Computer Vision Algorithms:
  • Design, implement, and refine computer vision algorithms for various applications such as object detection, image segmentation, and image classification.
  • Enhance and optimize existing algorithms to improve accuracy, speed, and efficiency.
  • AI System Deployment:
  • Develop and deploy AI systems into production environments, ensuring they are robust, scalable, and maintainable.
  • Collaborate with DevOps and software engineering teams to integrate AI solutions seamlessly into the company's infrastructure.
  • Performance Optimization:
  • Write and optimize performant and efficient inference systems using Python or C++, ensuring low latency and high throughput.
  • Implement hardware acceleration techniques (e.g., GPU, TPU) to enhance the performance of AI models.
  • Collaboration and Communication:
  • Work closely with cross-functional teams to understand project requirements and deliver solutions that meet business needs.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
  • Research and Innovation:
  • Stay updated with the latest advancements in AI, machine learning, and computer vision technologies.
  • Conduct research and contribute to the continuous improvement of our AI capabilities.

Qualifications:

Required:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Proven experience in developing and deploying computer vision algorithms.
  • Proficiency in programming languages such as Python and C++.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, OpenCV, etc.
  • Strong understanding of software development practices, including version control (Git), code reviews, and agile methodologies.

Preferred:

  • Ph.D. in a relevant field.
  • Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
  • Knowledge of hardware acceleration technologies (e.g., CUDA, TensorRT).
  • Strong problem-solving skills and the ability to think critically and creatively.
  • Excellent communication and teamwork skills.

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