Роль четко определена с сильным акцентом на AI/ML решения, а Snowflake - уважаемая продуктовая компания, но отсутствие информации о зарплате является недостатком.
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Зарплата не указанаСильная компанияЧеткие обязанностиИнновационный фокус
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect (AI/ML): Engaging with customers to provide technical leadership and architecture for implementing AI/ML solutions on the Snowflake platform with an accent on designing, prototyping, and implementing end-to-end AI/ML solutions. Focus on driving the adoption of Snowflake’s AI product suite and guiding customers on how to leverage it for new business value.
Location: Remote
Company
Snowflake empowers enterprises to achieve their full potential with a culture focused on impact, innovation, and collaboration.
What you will do
Engage with customers as a trusted advisor, translating business requirements into well-architected recommendations.
Provide forward-looking guidance and roadmaps, leveraging best practices to reduce risk in customer implementations.
Oversee the implementation of the customer’s Snowflake platform, demonstrating technical leadership through code and architecture.
Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform.
Define and advise on MLOps standard practices for model deployment, monitoring, and governance.
Drive the adoption of Snowflake’s AI product suite within customer solutions.
Requirements
BA/BS in computer science, engineering, mathematics, or related fields.
3 years of technical consulting experience.
Experience in a lead role for analytics projects for large enterprises.
Experience implementing and operating Snowflake centric solutions.
Deep understanding of the AI/ML lifecycle, from data preparation to model deployment and monitoring.
Hands-on experience leveraging SQL and Python to build and maintain data analytics solutions.
Nice to have
Hands-on experience building and managing AI/ML workloads.
Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
Experience in the services organization of a product company.
AWS, Google, or Microsoft Cloud certification(s).
Snowflake Snowpro Advanced Certification(s).
Culture & Benefits
Fast-growing company with a focus on innovation and impact.
Opportunity to challenge ordinary thinking and push the pace of innovation.
Values-driven culture.
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