Data Science Internship for Students 2024 by Marble AI

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Generative AI for Upskilling & Learning Initiatives

Last Updated on April 15, 2024 by GeeksGod

AI Internship Drive 2024

Data Science Internship for Students 2024 by Marble AI : Marble AI is an early-stage startup, with a vision to empower small and emerging brands globally to run high performing digital ads in a self-serve manner. Our founders have graduated from IITs & IIM. They are seasoned professionals having successfully exited an existing venture & have worked at marquee firms such as McKinsey, Goldmans Sachs.

Job TitleData Science Internship 2024 by Marble AI
DescriptionCurrently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Estimated salaryPer hour –
Work LocationPostal code :
Bengaluru
Employment TypeFULL TIME

Key Responsibilities for Data Science Internship for Students 2024

  • Research and experimentation with state-of-the-art image and video generative AI models.
  • Develop and optimize algorithms for generating high-quality visual content for advertising purposes.
  • Collaborate with cross-functional teams to understand product requirements and translate them into creative advertising solutions.
  • Analyze data and performance metrics to continuously improve the effectiveness of generated advertisements.
  • Stay updated on the latest advancements in AI and machine learning to incorporate into advertising strategies.

Qualifications: for Data Science Internship for Students 2024

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, or Keras.
  • Solid understanding of machine learning and deep learning concepts, particularly in the context of image and video processing.
  • Experience with image and video manipulation tools and frameworks is a plus.
  • Excellent problem-solving abilities and attention to detail.
  • Effective communication and collaboration skills in a team environment.

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