NetApp freshers Internship program 2024 for Engineering graduates

Job Type : Intern

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Qualification & Skills:

Job Requirements

  • Currently pursuing a bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • Familiarity of machine learning algorithms and concepts or hands-on experience working on data analytics/ML/AI related projects in an academic setting.
  • Proficiency in at least one backend programming language for API Development (Python, Java, JS, or Go).
  • Familiarity with a UI framework (e.g., Angular, React JS).
  • Experience with SQL.
  • Experience with data analytics skills.
  • Familiarity with popular machine learning libraries or frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Education and Desired skills

  • Exploratory knowledge of distributed computing and machine learning toolsets (e.g., Generative AI).
  • Experience working on real-world AI project(s) from prior work internship or in a non-academic setting is a plus.

Job Responsibilities

  • Collaborate with the IT and/or Business functional team members to identify and prioritize use cases where AI can be leveraged.
  • Demonstrate strong problem-solving skills and the ability to work independently.
  • Assist in the design, development, and implementation of AI algorithms and models.
  • Conduct research on state-of-the-art AI techniques and contribute to the development of innovative solutions.
  • Collect, preprocess, and analyze data to train and evaluate AI models.
  • Collaborate with cross-functional teams to gather and document business requirements.  Contribute to the development of AI solutions.
  • Assist in the testing and validation of AI models to ensure their accuracy and reliability.
  • Show a strong aptitude for learning modern technologies and understanding how to utilize them to solve real-world technical and business problems.
  • Stay updated with the latest advancements in AI technologies and contribute to the team’s knowledge base.
  • Document project progress, methodologies, and results for internal and external stakeholders.
  • Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
  • At the end of the internship, conduct an end-of-program presentation to the IT leadership team showcasing the projects completed.

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