Job Summary

We are seeking a highly motivated and talented AI Intern to join our dynamic team. As an intern, you will have the opportunity to work closely with our functional and technical professionals and contribute to the development, testing and delivery of various AI projects.

We are seeking interns with understanding of machine learning (specifically, exploratory knowledge in Generative AI) to build cloud native AI applications. This internship will provide you with valuable hands-on experience in the field of AI and a chance to develop your skills in a real-world setting.

Job Responsibilities of NetApp Internship:

• 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.

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.