AI Engineer

AI Engineer
  • posted job: 2025-06-09
  • Dubai
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  • Job Country: UAE
  • Job Industry: Information Technology (IT) & Telecommunication
  • Job Profile: Machine Learning
  • Training Duration: Not Required
  • Number of Jobs Opening: 30
  • Salary: 250000 ( 250000 Per Month)
  • Job Type: Full Time
  • Visa: Provided by company
  • Food: Provided by company
  • Accommodation: Provided by company
  • Air ticket: Provided by company
  • Medical Insurance: Provided by Company
  • Commuting to job location: Provided by company
  • Required Experience: 3 Years
  • Minimum Education Level: Bachelor’s Degree
  • Employee Acceptance: International
  • Work Location: Work at Office/Being at Work
  • Hiring Need: Immediate

Job Description:

The AI Engineer in Dubai is tasked with building intelligent systems and applications that leverage artificial intelligence to solve complex business problems. This includes designing models for natural language processing (NLP), computer vision, and decision systems using neural networks, deep learning, and reinforcement learning techniques. The AI Engineer collaborates with data scientists, software developers, and business teams to define AI use cases and create robust, scalable AI architectures. Key responsibilities include training and evaluating deep learning models, managing large datasets, optimizing inference times, and ensuring the ethical and secure deployment of AI solutions. Tools and platforms typically used include TensorFlow, Keras, PyTorch, OpenCV, and cloud AI services (AWS, Azure, Google Cloud). The engineer must also be familiar with AI governance, explainability, and performance monitoring. A creative thinker with strong coding, mathematical, and research skills is essential for success in this role.

Job Requirement:

Master’s or Bachelor’s in Artificial Intelligence, Computer Vision, or a related field. 3–5 years of experience in AI system development. Expertise in Python, deep learning frameworks, and cloud AI services. Strong understanding of neural networks, NLP, and computer vision techniques. Ability to build, test, and deploy AI models in production.

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