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Senior Solutions Architect (AI/ML)
NetApp
posted 3d ago
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Flexible timing
Key skills for the job
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.
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
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 (eg, 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.
o Design, develop, and implement scalable and robust ML systems using techniques such as classical machine learning, Generative AI models (eg, 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.
Education
masters or bachelors 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.
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.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Solution Architect roles with real interview advice
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