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AI Engineer

Spark Agency - Human Capital Management
Dubai, UAE
Part-time
Entry
Onsite
Discovered Yesterday
Artificial intelligenceMachine learningPythonAI/ML frameworksData collection and preprocessingMachine-learning algorithms

Full Job Posting

Role overview

AI Engineer role designing, developing, and implementing 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 machine-learning and AI models.
  • Collect, preprocess, and analyze data for AI and machine-learning applications.
  • Design and implement 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 applications and systems.
  • Collaborate with software engineers, data scientists, and other technical teams.
  • Research emerging AI technologies and recommend improvements to existing solutions.

Requirements

  • Strong programming skills in Python and familiarity with relevant AI/ML frameworks.
  • Understanding of machine-learning algorithms, data structures, and model evaluation techniques.
  • A related bachelor’s degree is preferred; listed fields include Computer Science, Artificial Intelligence, Data Science, and Engineering.
  • Experience in AI engineering, machine learning, or software development is an advantage.
  • Familiarity with cloud platforms, APIs, databases, and deployment tools is a plus.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently, manage multiple projects, and adapt to rapidly evolving technologies.

Benefits

  • Competitive salary and performance-based bonuses.
  • Supportive work environment with opportunities for technical growth.
  • Access to AI training, certifications, and professional development programs.
  • Exposure to innovative AI technologies and real-world projects.
  • Work-life balance with flexible or hybrid scheduling options.

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