Senior Architect - Machine Learning

2 days ago

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Snowflake

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Snowflake delivers the Data Cloud — mobilize your data with near-unlimited scale and performance.

Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics

1001 - 5000

💰 $621.5M Post-IPO Equity on 2022-04

Description

• Build the future of data. Join the Snowflake team. • We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. • Our Sales Engineering organization is seeking a Senior Architect, AI/ML Field CTO who can provide leadership to our customers building machine learning and generative AI solutions on the Snowflake AI Data Cloud. • As a Senior Architect focused on AI/ML you must share our passion and vision in helping our customers and partners drive faster time to value through Snowflake’s AI Data Cloud, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

Requirements

• 5+ years of experience building and deploying machine learning solutions in the cloud, including expert level experience with Python and popular third party packages (Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc.) • 1-2 years of experience working with LLMs on real-world use cases, including exposure to developer tools like langchain. • Applied knowledge of techniques needed to build performant Generative AI solutions with LLMs and foundation models in enterprise settings, like few shot prompt engineering, RAG, search and retrieval techniques, etc. • 2+ years of working with cloud native ML and AI tools such as Sagemaker, AzureML, or VertexAI. • Strong knowledge of SQL • Strong knowledge of data engineering technologies and tools (dbt, Airflow, etc) • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. • Bachelor’s Degree in computer science, engineering, mathematics or related fields, or equivalent experience