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AI Engineer
Central Regional High School
Dubai, UAE
Full-time
Entry
Onsite
Discovered Yesterday
Artificial intelligenceMachine learningPythonAI/ML frameworksMachine learning algorithmsData preprocessing
Role Overview
Designs, develops, and implements artificial intelligence and machine learning solutions.
Works with technical and business teams to build intelligent systems, optimize models, and integrate AI into business applications.
Key Skills for This Role
Artificial intelligenceMachine learningPythonAI/ML frameworksMachine learning algorithmsData preprocessing
Full Job Posting
Role overview
Designs, develops, and implements artificial intelligence and machine learning solutions.
Works with technical and business teams to build intelligent systems, optimize models, and integrate AI into business applications.
Responsibilities
- Develop, train, and deploy AI and machine learning models.
- Collect, preprocess, and analyze data for AI/ML applications.
- Design AI solutions based on business and technical requirements.
- Evaluate model performance and optimize algorithms for accuracy and efficiency.
- Integrate AI models and services into existing software and systems.
- Collaborate with software engineers, data scientists, and other technical teams.
- Research emerging AI technologies and recommend improvements.
Requirements
- A bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field is preferred.
- AI engineering, machine learning, or software development experience is advantageous.
- Strong Python programming skills and familiarity with relevant AI/ML frameworks.
- Understanding of machine learning algorithms, data structures, and model evaluation techniques.
- Cloud platforms, APIs, databases, and deployment tools are a plus.
- Strong analytical, problem-solving, and communication skills; able to work independently and manage multiple projects.
Benefits
- Competitive salary and performance-based bonuses.
- Technical growth, AI training, certifications, and professional development opportunities.
- Exposure to innovative AI technologies and real-world projects.
- Flexible or hybrid scheduling options are mentioned.
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