NetApp is one of the world’s leading companies in intelligent data infrastructure. With growing demand for AI, cloud, and data governance solutions, the role of Data & Applied Scientist at NetApp has become one of the most attractive opportunities for professionals with strong ML/AI skills.

If you are looking for a high-growth, high-impact career in AI/ML, this detailed article gives you a complete overview of the Data & Applied Scientist – Bengaluru, India opening.

Job Overview

Category	Details
Company	NetApp
Role	Data & Applied Scientist
Location	Bengaluru, India (Hybrid)
Job Category	Engineering
Job ID	132136-en_US
Experience Required	4+ Years (ML/AI Production Experience)
Qualification	Bachelor’s/Master’s in CS/Math/Statistics/Data Science OR equivalent skills
Skills Required	Python, PyTorch, Transformers, ML systems, LLMs
Preferred Skills	Data governance, AI agents, ML publications, GitHub projects
Work Model	Hybrid (Office + Remote)

About NetApp

NetApp is known for building intelligent data infrastructure for enterprises worldwide. The company focuses on enabling customers to:

• Manage large data estates
• Improve cyber-resilience
• Optimize cloud workloads
• Accelerate digital transformation

At NetApp, innovation is a core value—employees get the chance to solve high-impact challenges using AI-first approaches, cloud platforms, container technologies, and advanced automation.

Role Overview: Data & Applied Scientist

The Data & Applied Scientist role at NetApp is designed for professionals who can independently build and deploy AI/ML models, particularly in the domains of:

• Data governance
• Compliance
• Cyber-resilience
• Intelligent data systems

This is a high-ownership, high-autonomy position where you contribute to AI product development and bring cutting-edge research into production.

You will work with:

• ML frameworks
• Large language models
• AI agents
• Classical ML techniques
• Data pipelines
• Containerized production environments

Key Responsibilities

1. Build and Deploy AI/ML Models

You will create machine learning solutions using:

• Supervised learning
• Unsupervised learning
• Deep learning
• LLMs and generative AI
• AI agents

Models must be scalable, robust, and production-ready.

2. Develop Scalable Data Pipelines

Your responsibilities include:

• Data curation
• Building automated evaluation systems
• Integrating new ML tools and libraries
• Rapid experimentation using modern platforms

3. Integrate AI Solutions into NetApp Products

You will collaborate closely with:

• Data scientists
• ML engineers
• Backend teams
• Product managers

to integrate models into the company’s data services ecosystem.

4. Research & Innovation

NetApp expects you to stay ahead by:

• Testing open-source AI innovations
• Enhancing the ML experimentation roadmap
• Bringing creative solutions to the team

5. Communication & Cross-Functional Collaboration

You must be able to:

• Present complex ideas clearly
• Explain ML concepts to non-technical stakeholders
• Work efficiently with cross-functional teams

6. Represent NetApp in AI Community

Bonus if you:

• Publish research
• Present at ML/AI conferences
• Contribute to open-source AI projects

Visa is Hiring Site Reliability Engineer – Applications Support (Bangalore, India)

Required Qualifications

Bachelor’s or Master’s in:

• Computer Science
• Applied Mathematics
• Statistics
• Data Science

(Degree not mandatory if skills are strong)

Technical Skills (Mandatory)

Machine Learning Expertise

• 4+ years of production ML experience
• Strong fundamentals in:
  • Supervised ML
  • Unsupervised ML
  • Deep learning
  • Model evaluation

Python Programming

Should be highly skilled in:

• Python
• ML frameworks like PyTorch
• HuggingFace Transformers
• ML toolkits

LLM & GenAI Knowledge

You must have experience with:

• LLM-based solutions
• Prompting techniques
• Fine-tuning
• Synthetic data generation
• Knowing when not to use LLMs

Communication & Collaboration

Ability to work across teams and present technical findings.

Preferred Qualifications

These are not mandatory but will give you an edge:

• Experience with AI agents/multi-agent systems
• Understanding of compliance frameworks and data governance
• ML publications or conference participation
• GitHub profile with real ML projects
• Kaggle experience

Work Model at NetApp

NetApp offers a hybrid work environment, meaning:

• Some days in office
• Some days remote
• Strong focus on team collaboration

Why Work at NetApp?

• Opportunity to build cutting-edge AI/ML products
• Work with cloud, containers, and intelligent data platforms
• High impact, innovation-friendly culture
• Strong learning and development support
• 40 hours paid volunteer time
• Excellent work-life balance
• Health, insurance, financial, and professional benefits

Estimated Salary Range (India)

Typical salary range for this role:

₹18 LPA – ₹35 LPA
Higher for candidates with LLM/Generative AI specialization.

Conclusion

The Data & Applied Scientist role at NetApp is one of the most exciting opportunities for experienced ML/AI professionals. With a strong focus on innovation, intelligent data solutions, and AI-first product development, this role offers tremendous career growth. If you have a passion for ML systems, LLMs, and data governance technologies, NetApp is the perfect place to elevate your career.