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NetApp, Inc.

Staff Data Scientist

NetApp, Inc. Bangalore, Karnataka, India

Software Development · 10,001+ employees

Aug 20
data-scientist Principal (10+ yrs) Full-time India
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About the role

The role involves designing and evaluating advanced machine learning models and deep learning architectures to solve complex business problems. You will own the end-to-end lifecycle of models from data ingestion to production deployment and performance optimization.

What they look for

Artificial Intelligence Machine Learning Deep Learning Software Engineering Unix Linux Multithreaded Programming Algorithms Data Structures NoSQL Prometheus Git Docker Kubernetes Retrieval-Augmented Generation Statistical Methods

Requirements

Candidates must have 12-15 years of hands-on experience in data science and software engineering with expertise in AI/ML and system programming. A bachelor or master degree in computer science or equivalent experience is required.

Full description

Job Summary

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

  • Familiarity with the design and development of system software.
  • 12+ years of hands-on experience in coding of AI/ML.
  • Knowledge of Unix/Linux System Programming and Multithreaded programming.
  • Expertise in algorithms, data structures, and multi-threaded programming is essential.
  • Commitment to sound software engineering practices and a passion for quality.
  • Proven track record of meeting tight deadlines without sacrificing quality.
  • Strong communication skills, both written and oral, targeted at a wide variety of internal and external audiences.
  • Ability to understand customer deployment scenarios and experience in collaborating with peer teams outside of engineering.
  • 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 (e.g., distributing training, quantization, or optimizing inference graphs)

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

Education

  • IC - 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.

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