AI/ML Flex Solution Engineer

🔥 0 minutes ago

🗽 New York – Remote

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💵 $165k - $216.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 Solutions Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Snowflake

5001 - 10000 employees

Founded 2012

💼 Consulting

📣 Marketing

Consulting • Marketing • Cloud Computing

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• Partner with regional Account Executives and Solution Engineers to identify, qualify, and develop AI/ML opportunities within US Major Accounts • Conduct technical presentations, product demonstrations, and workshops focused on Snowflake’s AI/ML portfolio • Architect and prototype foundational AI/ML solutions and proof-of-concepts demonstrating business value • Serve as the technical bridge between customers and central AI/ML Product and Engineering teams • Synthesize customer feedback and emerging requirements • Track the competitive landscape and AI/ML industry trends • Advise internal teams and customers on AI/ML developments • Drive sales acceleration through hands-on AI-assisted development • Create Minimum Viable Products and functional prototypes demonstrating platform capability and time-to-value • Lead rapid technical builds of customized AI/ML prototypes • Directly influence incremental regional consumption • Provide technical support and capacity augmentation to regional SE teams • Develop and deliver AI/ML training materials and technical guidance • Document successful solution patterns and best practices in a centralized knowledge base • Support critical customer engagements across assigned regions

🎯 Requirements

• 2+ years of hands-on experience with AI/ML concepts, including data preparation, supervised/unsupervised model training, deployment, and monitoring • Level 200–300 AI/ML technical knowledge • Ability to design robust AI/ML solutions • Knowledge of common AI/ML algorithms and frameworks • Ability to implement standard MLOps pipelines • Excellent communication, presentation, and interpersonal skills • Ability to explain complex technical topics to technical and non-technical audiences • Ability to travel up to 30–40% of the time • Ability to comply with Snowflake confidentiality and security standards • For the United States role, candidates must address work authorization and sponsorship status in the application

🏖️ Benefits

• Salary and benefits information is provided via the Snowflake Careers Site; specific benefits are not listed in the posting • Travel support for critical customer engagements (travel up to 30–40% of the time)

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