Solutions Architect - AI/ ML

Snowflake(2 months ago)

HybridFull TimeSenior$164,524 - $220,436 (estimated)Professional Services

About this role

As a Solutions Architect specializing in AI/ML at Snowflake, you will leverage your expertise in data science and cloud architecture to design and implement ML pipelines using Snowflake's capabilities and partner tools. This highly technical role involves collaborating with customers to address specific technical challenges, creating proof of concepts using SQL and Python, and working with system integrators to ensure successful deployments. You will also engage with cross-functional teams for product improvements while maintaining a deep understanding of competitive technologies in the AI/ML landscape.

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Required Skills

AI/ML
Cloud Architecture
Solution Design
SQL
Python
API
POC Development
Best Practices
Technology Understanding
Collaboration

+18 more

Qualifications

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
Experience with at least one public cloud platform (AWS, Azure, or GCP)
Experience with at least one data science tool (AWS Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, Jupyter Notebooks, etc.)
Practical experience writing scripts in SQL and at least one of the following: Python, R, Java, Scala
Experience using libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar
Business-level proficiency in English

About Snowflake

www.snowflake.com

Snowflake, Inc. is a cloud-based data warehousing company that provides a highly scalable and reliable platform for data storage, processing, and analytics. Known as the Snowflake Data Cloud, it empowers organizations to seamlessly manage and analyze their data, leveraging AI and advanced analytics tools without the complexity of traditional data management solutions. Snowflake's architecture eliminates data silos, enabling real-time collaboration and driving innovation across various industries. Its user-friendly interface and robust security features make it a preferred choice for businesses looking to harness the power of their data effectively.