Junior Machine Learning Researcher

    31
    • Full Time
    • Qatar

    Qatar Foundation

    Job Responsibilities:
    Contributes to designing, prototyping, and developing scalable AI-based software solutions for medical applications.
    Assists in enhancing software functionality and user experience by leveraging analytics, machine learning models, cloud computing and large language models.
    Participates in scripting, coding, testing models, and programming to clean, process, analyze and visualize datasets.
    Conducts data analysis and modeling to identify trends, patterns, and draw insights from large datasets.
    Carries out data validation and statistical analysis to ensure consistency, quality, and reliability of data.
    Liaises with cross-functional teams, including software engineers, product managers, and UX/UI designers, to ensure seamless integration of AI technologies.
    Stays abreast of the latest AI trends and technologies and applies this knowledge to drive continuous improvement and innovation initiatives.
    Assists the research partners in implementing projects with medical institutions like Hamad Medical Corporation, Sidra etc.
    Perform other duties as assigned.

    Education & Experience:
    Bachelor’s degree in computer science, applied mathematics, statistics, data science or related field with 2 – 5 years of relevant experience.
    Previous experience with AI, machine learning or large language models is highly desirable.
    Previous experience in research or biomedical data analysis is an advantage.

    Knowledge, Skills and Abilities:
    Proficient in a range of software tooling and programming languages, such as Python, R, SQL, and Java.
    Knowledge of cloud computing platforms (AWS, Azure, or Google Cloud) and understanding of cloud architecture for deploying scalable applications.
    Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and analytics tools.
    Demonstrated analytical skills, with the ability to translate complex data into actionable insights.
    Ability to work collaboratively with diverse stakeholders.
    Proficient in MS Office Suite of products Word, Excel, PowerPoint, Outlook etc.

    To apply for this job please visit www.linkedin.com.

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