Job Summary

At NetApp, our mission is to help our customers bring AI to their data - wherever and however they want - in a way that is agile, achievable, and secure. Our AI tools help customers to seamlessly deploy AI on data in-place: on-prem, hybrid or cloud. By providing AI-ready infrastructure, NetApp enables confident innovation and effective data management for our customers, while maintaining the highest standards of security and regulatory compliance.

Job Requirements

• Provide technical direction for AI projects, ensuring the application of best practices and cutting-edge technologies.
• Collaborate with cross-functional teams to align AI initiatives with business objectives.
• Spearhead by providing technical direction on multiple AI projects, ensuring timely and high-quality delivery.
• Stay current with the latest advancements in AI/ML and integrate new technologies into the team's work.
• Proven expertise in AI and machine learning, including supervised and unsupervised learning, neural networks, natural language processing, computer vision, or reinforcement learning.
• Experience deploying AI/ML models in production environments at scale.
• Proficiency in programming languages such as Python, Scala, Java, or C++.
• Strong familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
• Working in Linux, AWS/Azure/GCP, Kubernetes - Control plane, Auto scaling, orchestration, containerization is a must
• Proficiency No Sql Document Databases (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB)
• Experience building Micro Services, REST APIs and related API frameworks.
• A strong understanding and experience with concepts related to computer architecture, data structures and programming practices
• Storage Domain experience is a plus

• 8-10+ yrs Proficiency in programming languages like Python, Scala, Java
• 6+ years experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc
• 6+ years experience working in Linux, AWS/Azure/GCP, Kubernetes - Control plane, Auto scaling, orchestration, containerization is a must.
• 6+ years experience with No Sql Document Databases (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB)
• 6+ years experience working building Micro Services, REST APIs and related API frameworks.
• 8+ yrs experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing.
• A strong understanding and experience with concepts related to computer architecture, data structures and programming practices
• Storage Domain experience is a plus