AI/ML Engineer
Primary stack
Nice to have's
Job description
About the Position
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.
Responsibilities
- Design and build intelligent AI agents capable of reasoning, planning, tool use, and multi-step task execution.
- Architect and optimize LLM-powered systems including token optimization, cost-efficient inference, prompt engineering frameworks, and caching mechanisms.
- 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.
Requirements
- 5–8 years of hands-on experience deploying AI/ML solutions in production.
- Proficiency in Python and working knowledge of Go.
- Experience with front-end frameworks such as React/Streamlit/Gradio.
- Strong experience with vector databases, MLOps practices, containerized deployment (Docker/Kubernetes), and cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
- Solid foundation in classical ML/DL fundamentals, distributed systems, and software engineering best practices.
Nice to Have
- Experience in the storage/cloud domain.
- Strong communicators who are passionate about responsible AI, quality, and meeting deadlines.
We Offer
- Opportunity to work on cutting-edge AI/ML projects.
- Collaborative and innovative work environment.
- Professional growth and development opportunities.
About the Company
NetApp is a global, cloud-led, data-centric software company that helps organizations take full advantage of their data. We are committed to driving innovation and delivering value to our customers through technology and expertise.
Apply now »
- Start apply with LinkedIn
- Apply Now
- Please wait...
© NetApp Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
More at NetApp Germany
All 249 rolesSupport Delivery Manager - Keystone
NetApp Germany · Netherlands
Manager, Enterprise Solutions Engineering - Canada
NetApp Germany · Canada +1
Mgr, Technical Account Management 3
NetApp Germany · India
Enterprise Solutions Engineer - SoCal
NetApp Germany · United States +2