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.