Technical Architect AI/ML

📋 Description

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload
• Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools
• Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate
• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled
• Maintain deep understanding of competitive and complementary technologies and vendors within the
• Work with System Integrator consultants at a deep technical level to successfully position and

🎯 Requirements

• Minimum 10 years experience working with customers in a pre-sales or post-sales technical role
• Skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or
• Thorough understanding of the complete Data Science life-cycle including feature engineering, model
• Strong understanding of MLOps, coupled with technologies and methodologies for deploying and
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
• Experience with at least one Data Science tool such as Sagemaker, AzureML, Vertex, Dataiku

🎁 Benefits

• Bonus Points for having experience with Generative AI, LLMs and Vector Databases.
• Experience with Databricks/Apache Spark, including PySpark
• Experience implementing data pipelines using ETL tools
• Experience working in a Data Science role
• Proven success at enterprise software
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc