Data Scientist: Snowpark ML & Cortex AI (Remote)

Brite Systems; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Brite Systems in the United States is seeking a Data Scientist to design and deploy Snowpark ML and Cortex AI workloads inside the governed Snowflake environment, ensuring data residency and compliance with the SOW.

You will collaborate with a Database Architect and Data Engineers to productionize ML solutions in regulated settings, supporting AI-enabled use cases from Build through Scale while documenting design choices for client review.

Qualifications

• 6+ years of applied data science / machine learning experience, including production model deployment.
• Hands-on experience with Snowflake Cortex AI and/or Snowpark ML required.
• Strong Python and SQL skills.
• Understanding of federal AI governance and data security constraints (FedRAMP, FISMA) and experience operating within them.
• Experience productionizing ML solutions in a regulated or government environment preferred.

Responsibilities

• Design and build Snowpark ML and Cortex AI workloads that support predictive analytics and intelligent automation use cases.
• Ensure all AI/ML workloads execute in-platform, preserving client's data residency and accreditation boundary requirements.
• Partner with the Database Architect and Data Engineers to ensure governed, high-quality data feeds AI/ML pipelines.
• Support use case execution and AI-readiness deliverables during the Build phase (Weeks 9–26) and expand capability during the Scale phase.
• Document model design, assumptions, and performance for client review and COR acceptance.
• Advise the Engagement Lead and IT Business Analyst on AI-enabled use cases during backlog prioritization.

Skills

Python

SQL

Snowpark ML

Snowflake Cortex AI

Education

Bachelor's or Master's degree in Data Science/CS/Statistics

Tools

Snowflake

AWS

MuleSoft

Job description

Brite Systems in the United States is seeking a Data Scientist to design and deploy Snowpark ML and Cortex AI workloads inside the governed Snowflake environment, ensuring data residency and compliance with the SOW.

You will collaborate with a Database Architect and Data Engineers to productionize ML solutions in regulated settings, supporting AI-enabled use cases from Build through Scale while documenting design choices for client review.