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.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins.
Job Summary: Member of Active IQ Analytics practice
NetApp’s Active IQ leverages the power of predictive, prescriptive analytics and enables customers and partners to automate data center operations, achieve low TCO and avoid issues before they become reality. Today, 98% of technical issues with NetApp products are automatically identified by Active IQ with prescriptive steps to avoid the issue – and we simply want to do better and more.
As a member of the Active IQ Analytics practice, you will analyze product telemetry data, customer transactions data and build analytical models for solving high value business problems such as – identification of cross-sell/ upsell opportunities, prediction of customer lifecycle events, enhancing storage infrastructure durability and enabling always-on always-available storage ecosystems. Every day, half million active IOT end points feed the Active IQ multi-petabyte data lake with structured and unstructured data. That’s the data pool you will use to enhance NetApp’s world class capabilities.
Job Requirements:
-
3+ Years of experience in Data Science & Statistics/ Mathematics or related field
-
Hands-on experience in designing, developing, and deploying both classical machine learning (at least some supervised, unsupervised modeling techniques such as Logistic/Linear Regression, Clustering, Decision Trees, Neural Networks/ Deep Networks, etc) and Generative AI applications
-
Strong expertise in feature engineering, model evaluation, and hyperparameter tuning and hands-on experience working with agentic AI components, including LLMs, reasoning frameworks, memory, and tool integration.
-
Proficiency in AI/ML scripting, programming language – Python, R, Unix Scripting
-
Hands-on skills in developing SQL queries/scripts and managing relational, NOSQL databases and experience in Vector Database and optimization (Milvus, qdrant etc)
-
Good understanding of big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing
-
Experience with ML libraries and frameworks: PyTorch/ TensorFlow/ Keras/ Open AI, LangChain etc.
-
Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization
Skills Required:
-
ML libraries and frameworks: PyTorch/ TensorFlow/ Keras/ Open AI, LangChain/Langraph etc.
-
MLops and LLMOps Tool: MLFlow, Weights and Bias
-
Cloud Platforms: AWS SageMaker, Azure Cloud services
-
Model Deployment and Serving Experience – Docker/Kubernetes, Flask
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.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. now.
Submitting an application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
