Senior AI Engineer

Job description

Job Summary 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.Solid grasp of statistics, data mining, and visualization. • Excellent problem-solving and communication skills. Nice-to-Haves • Led AI projects from concept to production.Experience with data protection / backup & restore, filesystems, or distributed systems. • Deep cloud infra knowledge (storage, databases, caching, networking, load balancers).Git and agile workflows; publications or open-source contributions. Education IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.