Description

You will serve as the technical expert for Snowflake concerning AI/ML workloads.

Responsibilities

• Advise customers on Data Science workloads using Snowflake best practices.
• Build and deploy ML pipelines using Snowflake features and ecosystem partner tools based on customer needs.
• Develop POCs hands-on using SQL and Python to demonstrate implementation techniques on Snowflake.
• Guide consultants in technically positioning and deploying Snowflake within customer environments.
• Resolve customer-specific technical challenges and support team expertise development.

Required Skills

• 14+ years working with customers in a pre-sales or post-sales technical role.
• Thorough understanding of the complete Data Science life-cycle (feature engineering, model development, deployment, management).
• Strong understanding of MLOps methodologies for model deployment and monitoring.
• Hands-on scripting experience with SQL and Python, Java, or Scala.
• Experience with at least one public cloud platform (AWS, Azure, or GCP).
• Experience with Data Science tools such as AWS SageMaker, AzureML, Dataiku, DataRobot, H2O, or Jupyter Notebooks.
• Experience with ML/AI concepts and Snowflake architecture.
• Understanding of ETL processes.

Preferred Skills

• Experience with GenerativeAI, LLMs, and Vector Databases.
• Experience with Databricks/Apache Spark.

Key Skills

Education

Any Gradute