ML and AI Intern

  • Intern
  • Job Category: Beauty Tech

Company Description

We are seeking a motivated and enthusiastic Beauty Tech Intern to join our growing Technology department. This internship offers a unique opportunity to gain hands-on experience in various aspects of software development, testing, production support, and data analysis. The intern will work closely with experienced team members on real-world projects, contributing to the success of our applications, digital products and services.

    Job Description

    Responsibilities:

    • Assist Project Execution:
      • Support project managers and team members in planning, tracking, and executing technical projects.
      • Assist with documentation, including project plans, specifications, and status reports.
      • Help coordinate project meetings and follow up on action items.

     

    • Artificial Intelligence / Machine Learning:
      • Assist in the collection, cleaning, and preprocessing of large datasets.
      • Implement and evaluate machine learning models using Python and libraries such as scikit-learn and TensorFlow.
      • Conduct experiments to optimize model performance and identify areas for improvement.
      • Contribute to the development of data pipelines and infrastructure.
      • Document code, experiments, and results.
      • Present findings and progress updates to the team.
      • Research and explore new AI techniques and algorithms.

    Qualifications

    Qualifications:

    • Currently pursuing a Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence or a related field.
    • Familiarity with machine learning concepts and algorithms.
    • Experience with data analysis tools such as Pandas and NumPy.
    • Strong analytical and problem-solving skills.
    • Excellent communication and interpersonal skills.
    • Ability to work independently and as part of a team.
    • Familiarity with software development methodologies (e.g., Agile).
    • Experience with deep learning frameworks such as TensorFlow or PyTorch and Cloud computing platforms such as AWS, Azure or GCP is a plus.

    Learning Outcomes:

    • Gain practical experience in software development, testing, production support, and data analysis.
    • Mentorship from experienced AI and Data professionals and opportunity to work on cutting-edge AI retail projects.
    • Develop skills in project management, problem-solving, and communication.
    • Learn about different software development methodologies and tools (Including but not limited to Power BI and SQL)
    • Contribute to the success of real-world projects.
    • Build valuable professional network.
    • Potential for full-time employment after graduation
    Privacy PolicyImprint