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Remote role with specialized MLOps and Snowflake skills but seniority reduces applicant density.
Requires deep Retail O2C domain expertise, limiting cross-industry transferability.
Explicit 9+ years domain requirement plus mandatory Snowflake ML and CI/CD skills makes screening strict.
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Design, deploy, and monitor scalable end-to-end machine learning pipelines using Snowflake ML, Python, and Azure DevOps CI/CD automation.
Leverage ML for Retail industry Order-to-Cash (O2C) domain to optimize cash application, billing efficiency, credit risk assessment, demand forecasting, inventory management, and customer analytics.
Develop interactive Power BI dashboards to transform complex ML outputs into actionable business insights for executives.
Minimum 5+ years professional Python development experience with production-grade code.
Hands-on experience with Snowflake ML tools such as Snowpark, Cortex AI, or Feature Store.
Proven experience using Azure DevOps, Git, and automated CI/CD pipelines.
Deep domain expertise in Retail industry and Order-to-Cash (O2C) process.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics or related field.
Experienced in bridging data science and production engineering for scalable ML operations in Retail and O2C domains.
Strong technical operator skilled at building automation pipelines with Azure DevOps and expertise in Snowflake ML ecosystem.
Able to translate complex analytics into business intelligence via Power BI for executive-level insights.