Artificial Intelligence Expert

3 weeks ago


San Francisco, California, United States Snowflake Computing Full time
Job Overview
Snowflake Computing is a rapidly growing company, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Estimated Salary: $120,000 - $180,000 per year

About the Role
We are seeking an AI Specialist focused on Machine Learning and AI who can provide hands-on expertise and support while working with technical decision makers in the design and architecture of the AI solutions that utilize Snowflake as an AI platform. The successful candidate will work closely with our sales teams to support customers in initial adoption of our AI and ML features in a hands-on capacity.

Main Responsibilities
* Work with our sales teams to support customers in initial adoption of our AI and ML features in a hands-on capacity.
* Be the technical expert in the room to present and position Snowflake's AI and ML features and value to technical stakeholders at Snowflake's customers.
* Publish thought leadership content(blog posts, presentations at conferences and events) to advance Snowflake's strategic initiatives around AI.

Requirements
* Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role involving AI/ML.
* Familiarity with cloud native ML and AI tools such as Sagemaker, AzureML, VertexAI.
* Strong knowledge of data engineering tools and technologies(dbt, Airflow, Spark).
* Strong knowledge and experience working with SQL.
* Working knowledge of deep learning concepts, techniques, and tools(Pytorch, Tensorflow, etc).
* Bachelor's Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Bonus Points
* Working knowledge of tools in the LLM ecosystem such as langchain, llama index, NeMo-Guard.
* Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, etc.).
* 1+ years of practical Snowflake experience.

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