Job Description
As a Senior Machine Learning Solutions Architect at NetApp, you will be at the forefront of driving innovation by designing and implementing cutting-edge Generative AI (GenAI) and Machine Learning (ML) solutions. Your work will empower our internal sales teams, partners, and customers with actionable insights derived from advanced analytics. You will lead the design of scalable, robust, and production-ready AI/ML systems, from real-time predictive analytics to LLM-driven automation, ensuring seamless integration into our existing infrastructure. Collaborating with cross-functional teams, including senior software developers, technical directors, and business stakeholders, you will play a pivotal role in shaping the future of data-driven decision-making at NetApp. This role demands a creative, results-driven, and collaborative individual who thrives in a fast-paced environment and is passionate about leveraging AI/ML to solve complex business challenges.
1. Architect and Deploy AI/ML Solutions: o Design, develop, and implement scalable and robust ML systems using techniques such as classical machine learning, Generative AI models (e.g., LLMs), and AI agents. o Ensure the reliability, scalability, and performance of AI/ML models in production environments. o Oversee ML design reviews and establish best practices for end-to-end ML systems, including MLOps and CI/CD pipelines. 2. Collaborate Across Teams: o Partner with data engineers to build scalable data pipelines for AI/ML-driven solutions, including curated data pipelines, ML feature pipelines, and deployment services. o Work closely with business stakeholders to identify and unlock new use cases, driving innovation through data intelligence. o Participate in cross-functional meetings, workshops, and planning sessions to align data engineering and AI/ML initiatives with organizational goals. 3. Technical Leadership and Mentorship: o Act as a technical thought leader in the AI/ML space, providing guidance on data governance, model lifecycle management, and MLOps practices. o Mentor and coach data scientists and cross-functional team members, fostering a culture of innovation, collaboration, and continuous learning. 4. Industry Representation: o Represent NetApp as a leader and ambassador in the AI/ML community, building relationships with external partners and promoting the company’s capabilities at industry and academic conferences.
Master’s or Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Science, or a related field. • 10+ years of experience as a Data and Machine Learning Engineer, with a proven track record of architecting, designing, and implementing end-to-end ML solutions, building scalable data/feature pipelines, and shipping AI/ML-driven products at scale. • Recent experience with experimenting and deploying Large Language Models (LLMs) to production is a strong.
The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multi-cloud environments. Their 30 years of innovation have made them the proven leader in all-flash storage. They have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Their data services offer the best security and protection in the industry. They have CloudOps services that will revolutionize how companies work in the cloud. And that’s just scratching the surface. The following values inform every decision NetApp makes—from customer interactions and social causes to designing solutions and supporting their employees. At NetApp, living these values is essential. Put the customer at the center - You don’t become a deeply trusted, indispensable partner without listening to customers, walking in their shoes, and propelling your orbit with a strong point of view. Care for each other and our communities - Caring for each other and our communities takes large doses of humility and kindness—mixed with building deep, authentic connections and topped with an unwavering commitment to collaboration. Build belonging every day - By embedding diversity and inclusion into every decision that we make, we open the door to other voices, different perspectives, and most important, our true potential for innovation. Embrace a growth mindset - We step out of our comfort zone even when it's scary and learn from both our failures and our successes. This keeps us from stepping into the dreaded fixed-mindset quicksand. Think and act like owners - Showing up with our A game, being accountable, and acting with speed and integrity are the keys to unlocking the sense of ownership that's necessary to create the future. Celebrating differences, embracing new solutions - To our NetApp® team, “walking the talk" means we must hold ourselves accountable in our work toward greater demographic, physical and cognitive diversity. Embracing a culture of diversity requires that we create opportunities for equity, inclusion, diversity, and belonging (DEI&B) every day. And the culture of inclusion at NetApp fosters a strong community that’s empowered to innovate. The diversity, equity, inclusion, and belonging goals are a continuous process of self-reflection and growth, to build belonging within our culture, values and business practices. "We believe that the strongest and most creative teams have the best talent, are unified in purpose, and diverse in thought and background representing the customers and communities we serve." George Kurian, CEO, NetApp
