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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