ml-jobs

What problem does it solve?

Transforms locally developed Python scripts into Snowflake ML Jobs that run on Snowflake compute pools, enabling remote execution and scalable ML workloads without manual deployment steps.

Core Features & Use Cases

• Convert a local Python script into a Snowflake ML Job that executes on a compute pool.
• Automatically prepare dependencies, determine compute requirements (GPU vs CPU), and generate a submission template.
• Use Case: offload heavy ML training to Snowflake compute pools or run model inference on-demand in the cloud.

Quick Start

Convert a local Python script into a Snowflake ML Job in your Snowflake environment by supplying the script path and preferred compute pool configuration.