Machine Learning Solutions Architect
4 days ago
Job Description
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At NetApp, we are at the forefront of driving innovation by designing and implementing cutting-edge Generative AI (GenAI) and Machine Learning (ML) solutions. As a Senior Solutions Architect, you will play a pivotal role in empowering 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 shape 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.
Key Responsibilities:
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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.
">Ensure the reliability, scalability, and performance of AI/ML models in production environments.
">Oversee ML design reviews and establish best practices for end-to-end ML systems, including MLOps and CI/CD pipelines.
">Partner with data engineers to build scalable data pipelines for AI/ML-driven solutions, including curated data pipelines, ML feature pipelines, and deployment services.
">Work closely with business stakeholders to identify and unlock new use cases, driving innovation through data intelligence.
">Act as a technical thought leader in the AI/ML space, providing guidance on data governance, model lifecycle management, and MLOps practices.
">Mentor and coach data scientists and cross-functional team members, fostering a culture of innovation, collaboration, and continuous learning.
">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.
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Requirements:
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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 plus.
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About Us
">We are a leading technology company that empowers organizations to achieve their goals through innovative data-driven solutions. We believe in the power of collaboration and strive to create an inclusive work environment where everyone can thrive.
">Join Our Team
">We are looking for talented individuals who share our passion for innovation and excellence. If you are a driven professional with a passion for AI/ML, we encourage you to apply for this exciting opportunity.
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