AI/ML Engineer

Job Summary

NetApp's Chief Platform and Technology Office (CPTO) is seeking AI/ML Engineers to design and build cutting-edge AI/ML-powered incubation projects that drive NetApp's technology strategy and business transformation.

Job Requirements

• Design and build intelligent AI agents capable of reasoning, planning, tool use, and multi-step task execution.
• The ideal candidate brings 5-8 years of hands-on experience deploying AI/ML solutions in production, with deep expertise in AI agents, LLM integration and optimization, RAG architectures, and modern ML frameworks.
• Proficiency in Python is required, along with working knowledge of Go and front-end frameworks (React/Streamlit/Gradio).
• Architect and optimize LLM-powered systems including token optimization, cost-efficient inference, prompt engineering frameworks, and caching mechanisms.
• Candidates should have strong experience with vector databases, MLOps practices, containerized deployment (Docker/Kubernetes), and cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI). A solid foundation in classical ML/DL fundamentals, distributed systems, and software engineering best practices is essential.
• Build and scale advanced RAG pipelines with hybrid search, re-ranking, agentic retrieval, and dynamic knowledge base integration.
• Develop and maintain MLOps pipelines for model training, evaluation, deployment, and monitoring at scale.
• Fine-tune and customize foundation models for domain-specific use cases in storage, cloud infrastructure, and enterprise operations.Build large-scale, fault-tolerant, low-latency distributed systems for real-time AI inference.
• Contribute to POCs and incubation projects that shape NetApp's AI/ML roadmap and long-term product vision.
• Explore unconventional AI architectures - including multi-modal AI, edge inference, and distributed training.
• Collaborate cross-functionally with engineers, data scientists, and product teams from problem definition through deployment and early customer support.
• Stay current with the evolving AI/ML landscape and drive adoption of emerging models, frameworks, and techniques that deliver business value.
• Experience in the storage/cloud domain is a strong plus. We value strong communicators who are passionate about responsible AI, quality, and meeting deadlines.

Education

• IC - Typically requires a minimum of 5 years of related experience.
• Bachelor/Master of Engineering in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field or equivalent experience.