Technical expert on Snowflake for AI/ML workloads
Build/deploy ML pipelines using Snowflake and ecosystem tools
Hands-on work with SQL, Python, APIs to build POCs for GenAI/ML
Knowledge transfer to enable customers to extend Snowflake capabilities
Understand competitive AI/ML tech and position Snowflake accordingly
Collaborate with System Integrators to deploy Snowflake in customer environments

🎯 Requirements

10+ years in a pre/post-sales technical/customer role
Strong presentation skills to technical and executive audiences
DS lifecycle knowledge: feature engineering, modeling, deployment, management
Strong MLOps understanding and deployment/monitoring tooling
Experience with AWS/Azure/GCP
Experience with data science tools (SageMaker, AzureML, Vertex, Dataiku, DataRobot, H2O, Jupyter)

🎁 Benefits

Travel to client sites up to 25% of the time
Professional growth and collaboration with product, engineering, and marketing

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot