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Tier-1 employer, mid-level generalist ML/AI architect in metro markets increases applicant density.
Requires deep ML/MLOps, cloud and customer-facing professional services experience, limiting cross-industry transferability.
Explicit 6+ years plus mandatory MLOps, cloud, Python/SQL and customer-facing experience enforces strict filters.
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Act as a technical expert on Snowflake for AI/ML workloads, providing best practices and strategic advice to customers.
Design, build, and deploy machine learning pipelines using Snowflake features and partner ecosystem tools based on customer requirements.
Collaborate with customer teams and system integrators to ensure successful implementation and knowledge transfer of data science workloads on Snowflake.
University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.
Minimum 6 years experience in pre-sales or post-sales technical roles with customers.
Hands-on experience with SQL and at least one programming language: Python, Java, or Scala.
Experience with at least one public cloud platform (AWS, Azure, or GCP) and Data Science tools such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, or Jupyter Notebooks.
Deep understanding of the entire Data Science lifecycle including feature engineering, model development, deployment, and management, with strong MLOps knowledge.
Ability to present complex technical concepts clearly to both technical and executive audiences.
Experience working in enterprise software environments, with skills collaborating across product management, engineering, and professional services functions.