Description

You will act as the technical expert for Snowflake related to AI/ML workloads.

Responsibilities

• Build and deploy ML pipelines using Snowflake features or ecosystem partner tools based on customer needs.
• Build Proofs of Concept using SQL and Python to demonstrate implementation techniques on Snowflake for Data Science workloads.
• Guide customers on resolving specific technical challenges and ensure knowledge transfer for self-sufficiency.
• Advise customers on best practices for Data Science workloads on Snowflake.
• Collaborate with internal teams (Product Management, Engineering, Marketing) to improve Snowflake products.

Required Skills

• 12-14 years experience in a pre-sales or post-sales technical customer-facing role.
• Thorough understanding of the complete Data Science life-cycle (feature engineering through model management).
• Strong understanding of MLOps methodologies for model deployment and monitoring.
• Hands-on scripting experience with SQL and at least one of: Python, Scala.
• Experience with at least one public cloud platform (AWS, Azure, or GCP).
• Experience with Data Science tools such as AWS SageMaker, AzureML, Dataiku, H2O, or Jupyter Notebooks.
• Experience with libraries including Pandas, PyTorch, and TensorFlow.

Key Skills

Education

Any Gradute