Staff Applied Scientist

NetApp, Inc.; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

NetApp, Inc. in Bengaluru is seeking an Applied Scientist to bridge AI research and large-scale production systems. You will design, build, and iterate on novel algorithmic solutions to complex business problems.

The role emphasizes scalable ML through production deployment, data ingestion, training, and monitoring, with a focus on performance, latency, and reliability. You will collaborate with cross- functional teams and mentor engineers while advancing state-of-the-art research.

Qualifications

• 12–15 years of data science and analytics experience.
• Bachelor or Master of Engineering in Computer Science or equivalent.
• Experience designing algorithms for production ML systems.
• Strong Unix/Linux system programming knowledge.

Responsibilities

• Formulate business problems into mathematical frameworks.
• Design, experiment with, and evaluate advanced ML models, DL architectures, and statistical methods.
• Write clean, maintainable, and scalable production code for ML systems.
• Lead and mentor engineers and scientists, promoting data-driven engineering.

Skills

AI/ML coding

Multithreaded programming

Software engineering

Communication skills

Customer deployment collaboration

Education

Bachelor's or Master's in Computer Science

Tools

Git

Docker

Kubernetes

Prometheus

NoSQL

Datalake

Job description

Job Summary

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 frontier 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.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

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.