Senior Solutions Architect (AI/ML)

Bangalore, Karnataka, IN

NetApp

Turn a world of disruption into opportunity with intelligent data infrastructure from NetApp. Realize seamless flexibility—any data, any workload, any environment—with the only enterprise-grade storage service embedded in the world’s biggest...

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Job Summary

 

  • 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.

Job Requirements

  • Architect and Deploy AI/ML Solutions.
  • 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.
  • Collaborate Across Teams.
  • 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.
  • Participate in cross-functional meetings, workshops, and planning sessions to align data engineering and AI/ML initiatives with organizational goals.
  • Technical Leadership and Mentorship.
  • 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.
  • Industry Representation.
  • 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.

Education

  • 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: CI/CD Computer Science Data governance Data pipelines Engineering Generative AI LLMs Machine Learning Mathematics ML models MLOps Pipelines Statistics

Perks/benefits: Conferences

Region: Asia/Pacific
Country: India

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