Artifical Intelligence & Machine Learning Engineer

Oryx Universal College

Posted 30+ days ago

Experience

1 - 3 Years

Job Location

Qatar - Qatar

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities


  • Design, train, evaluate, and deploy machine learning and deep learning models
  • Build and maintain scalable AI solutions for real-time or batch processing systems.
  • Optimise model performance, including accuracy, latency, and resource consumption.
  • Data Engineering & Processing
    1. Collaborate with data engineers and analysts to source, clean, and transform data.
    2. Apply advanced statistical and data mining techniques to extract meaningful patterns.
  • Research & Innovation
    1. Stay updated with the latest advancements in AI and ML technologies.
    2. Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
  • Systems Integration
    1. Develop APIs and services to integrate AI solutions into existing platforms or applications.
    2. Collaborate with software engineers and DevOps teams to ensure production-level stability.
  • Collaboration & Communication
    1. Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
    2. Prepare documentation, reports, and presentation materials to communicate findings and methodologies.


    Requirements Required Qualifications:
    • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master s or PhD preferred).

    • Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

    • Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

    • Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

    • Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

    Desirable Skills:
    • Knowledge of MLOps tools and CI/CD pipelines for ML projects.

    • Familiarity with big data platforms (e.g., Spark, Hadoop).

    • Experience with academic or educational systems (LMS, AI in education) is a plus.

    • Demonstrated contributions to open-source projects, research publications, or hackathons.



    Company Industry

    Department / Functional Area

    Keywords

    • Artifical Intelligence & Machine Learning Engineer

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