Senior AI Engineer

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If you run toward knowledge and problem-solving, join us

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. Join teams that innovate to elevate, drive results, and excel together across every function.

Senior AI Engineer

Bengaluru, India

Job category: Cloud Job ID: 135585-en_US

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NetApp GCNV builds cloud-scale products used by thousands of customers, blending cutting-edge AI with world-class data infrastructure. Join us to solve hard problems in a collaborative, high-impact environment. We're hiring a  Senior AI Engineer  who can design and ship production-grade AI/ML solutions  and the distributed systems that power them. You'll own features end-to-end from design and coding to deployment and monitoring and mentor other engineers along the way Job Requirements What You'll Do Design, build, and deploy AI/ML solutions to production at cloud scale.Architect backend services, data pipelines, and REST APIs that power AI features. Own the full lifecycle: design, development, testing, deployment, and monitoring. Mentor engineers and collaborate with cross-functional stakeholders. Drive bug fixes, RCAs, and automation; keep pace with the latest in AI and cloud-native tech.Uphold data privacy, security, and ethical AI standards. Must-Haves 8 years  building production software, with a strong AI/ML track record. Proficiency in Python  and one of  Java, Go, C, or C++ . Hands-on with TensorFlow, PyTorch, or scikit-learn .Strong fundamentals: data structures, algorithms, system design, REST APIs, Linux. Experience with AWS/Azure/GCP  and  Docker/Kubernetes