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AI Engineer

2 weeks ago

Dubai, Dubai, United Arab Emirates KAIZEN Asset Management Services Full time

Kaizen Asset Management Services is a leading integrated asset and property services company in Dubai. We are committed to delivering exceptional property and owners association management through innovative, technology-driven solutions. We leverage data and technology to enhance property value, optimize operational efficiency, and improve the overall resident experience.

Job Summary:
As an AI Engineer at Kaizen AMS, you will be instrumental in designing, developing, and deploying AI-powered solutions that enhance our operational efficiency and drive innovation. You'll work on a variety of projects, applying your expertise in machine learning, data analysis, and automation to solve complex challenges.

Responsibilities:

  1. AI Model Development & Implementation:
    • Design, develop, and deploy machine learning and deep learning models for various applications
    • Evaluate and optimize model performance, ensuring scalability and reliability
    • Implement and maintain AI algorithms and systems
  2. Data Management & Analysis:
    • Collect, clean, and preprocess diverse datasets for model training and analysis
    • Develop and maintain data pipelines and ensure data quality
    • Perform exploratory data analysis to extract valuable insights
  3. Automation & Integration:
    • Develop and implement AI-driven automation solutions to streamline processes
    • Integrate AI models with existing systems and platforms
    • Work with APIs to connect diverse data sources
  4. Research & Development:
    • Stay up-to-date with the latest advancements in AI and related technologies
    • Research and evaluate new AI tools and techniques for potential application
    • Contribute to the development of innovative AI solutions
  5. Collaboration & Communication:
    • Collaborate with cross-functional teams to define and implement AI solutions
    • Communicate technical concepts and findings effectively to both technical and non-technical audiences
    • Document all work for future use

Requirements:

  1. Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
  2. Technical Skills:
    • Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
    • Strong understanding of machine learning algorithms and techniques
    • Experience with data analysis and visualization tools
    • Experience with cloud computing platforms (e.g., AWS, Azure, GCP)
    • Experience working with APIs
    • Experience with Databases (SQL, NoSQL)
  3. Soft Skills:
    • Strong problem-solving and analytical skills
    • Excellent communication and teamwork skills
    • Ability to adapt to a dynamic and evolving environment.

Preferred Qualifications:

  • Experience with specific AI applications (e.g., natural language processing, computer vision)
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
  • Familiarity with IoT concepts and data
  • Familiarity with the asset management or real estate industries
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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