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NetApp - Staff Applied Scientist - Artificial Intelligence/Machine Learning

Netapp
12 - 15 Years
Bangalore

Posted on: 10/09/2026

Job Description

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure - delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Job Summary :

Are you ready to elevate your career in software engineering? NetApp is seeking Software Engineers to join the CPTO team and contribute to the development and design of innovative incubation projects that will drive the tech strategy for NetApp.

Role Overview :

CPTO is looking for an Applied Scientist who is passionate about bridging the gap between AI research and large-scale production systems. In this role, you will not just apply off-the-shelf models; you will design, build, and iterate on novel algorithmic solutions to complex, ambiguous business problems.

Job Requirements :

- 12+ years of hands-on experience in coding of AI/ML.

- Expertise in algorithms, data structures, and multi-threaded programming.

- Knowledge of Unix/Linux System Programming.

- Familiarity with database technologies such as NoSQL, Prometheus and datalake.

- Hands-on experience with code conversion tools like Git.

- Knowledge of software deployment Docker/Kubernetes.

Key Responsibilities :

- Research & Design: Formulate complex business problems into formal mathematical frameworks.

- Design, experiment with, and evaluate advanced ML models, Deep Learning architectures, and statistical methods.

- Prototyping to Production: Write clean, maintainable, and scalable code.

- Own the end-to-end lifecycle of ML models, from data ingestion and training to deployment and post-launch monitoring.

- Scale & Optimize: Optimize model performance, latency, and resource utilization for high-throughput, low-latency production systems.

- Technical Leadership: Stay at the forefront of AI research (LLMs, Retrieval-Augmented Generation (RAG), vector intelligence, multi-modal systems).

- Mentor junior engineers and scientists, and foster a data-driven engineering culture.

Education :

- Typically requires a minimum Bachelor/Master of Engineering in Computer Science; or equivalent experience.

- 12 - 15 years of hands-on experience in Data Science and related analytics disciplines.

Why You'll Thrive at NetApp :

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees.

AI Disclosure :

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support - rather than replace - human decision-making.

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