About NetApp
NetApp, Inc. is a leading American hybrid cloud data services and data management company based in Sunnyvale, California. Known for its innovation, NetApp has been consistently ranked in the Fortune 500 since 2012. The company empowers organizations to accelerate digital transformation with advanced data governance and cyber resilience solutions.
Company Name: NetApp, Inc.
Website: NetApp
Wikipedia: NetApp Wiki
Job Details
Position: Data & Applied Scientist Intern
Location: Bengaluru, Karnataka, India
Salary Range: Industry Standard
Qualifications: B.E/B.Tech/M.E/M.Tech in Computer Science, Engineering, Applied Mathematics, Data Science, or related fields
Eligible Batch: 2023/2024
Experience Required: 0-1 year
This internship provides an opportunity to work on AI-driven data solutions, particularly in NLP and synthetic data generation, making it perfect for candidates passionate about data science and AI.
Skills Needed
- Programming skills in Python
- Proficiency with ML frameworks (e.g., PyTorch, Transformers)
- Familiarity with cloud platforms (e.g., AWS, Azure)
- Strong communication and collaboration skills
- Experience in NLP and computer vision techniques
- Knowledge of AI/ML tools (Kaggle, GitHub)
Job Responsibilities
- Assist in generating synthetic data for testing and model training
- Develop quality metrics for synthetic data accuracy
- Collaborate with researchers to improve NLP models with synthetic datasets
- Participate in AI projects, with opportunities for research publications and patents
Relevant Technology Courses
Enhance your skills with these free resources:
- Python for Data Science and Machine Learning - Coursera
- Deep Learning Specialization by Andrew Ng - Coursera
- Natural Language Processing with Python - edX
- AI for Everyone - Coursera
Interview Tips & Tricks
Prepare effectively for interviews with these resources:
- Interview Prep Guide for Data Science Roles - DataCamp
- Glassdoor Interview Questions - Glassdoor
- Tips on NLP Interview Questions - Analytics Vidhya
Key Tips:
- Highlight any experience with Python, PyTorch, and ML frameworks.
- Review NLP concepts, particularly in data governance.
- Practice simplifying complex technical explanations.
Company Reviews
Overall Rating: ★★★★☆ (4/5)
- Work Culture: Flexible, inclusive, and supportive of innovation
- Salary Range: Competitive, matching industry standards
- Onsite Opportunities: Available for both short and long-term roles
- Freshers' Experience: Excellent hands-on experience in AI/ML projects
- Experienced Feedback: High focus on upskilling and work-life balance
