AI Engineer

U X E SECURITY SOLUTIONS...

Employer Active

Posted 9 hrs ago

Experience

1 - 7 Years

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Key Responsibilities:

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Desired Candidate Profile

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.

Company Industry

Department / Functional Area

Keywords

  • AI Engineer

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