Senior MLOps Engineer

Job Summary
We are seeking a highly skilled Senior MLOps Engineer / Data Scientist with a strong background in the Retail industry and Order-to-Cash (O2C) domains. The ideal candidate brings extensive development experience, including a deep foundation in programming and automation. In this role, you will bridge the gap between data science and production engineering. You will design, build, and maintain end-to-end Machine Learning pipelines. You will leverage Snowflake ML and Python to deploy scalable models. You will also use Azure DevOps for robust CI/CD automation. Additionally, you will translate complex data into actionable business insights using Power BI.

• Key Responsibilities
  End-to-End MLOps: Design, deploy, and monitor scalable ML pipelines from data ingestion to model deployment and retraining.
  Snowflake ML Development: Utilize Snowpark, Snowflake Cortex AI, and Model Registry to build and manage in-data-warehouse machine learning solutions.
  Pipeline Automation: Build and maintain CI/CD pipelines using Azure DevOps for seamless, automated model deployment and testing.
  Domain Analytics: Apply ML models to optimize the Order-to-Cash (O2C) lifecycle, improving cash application, billing efficiency, and credit risk assessments.
  Retail Solutions: Deliver data-driven solutions for retail use cases, including demand forecasting, inventory management, and customer analytics.
  Business Intelligence: Create interactive Power BI dashboards and data models to translate complex ML outputs into clear executive insights.

• Required Skills & Qualifications (Mandatory)
  Python Expertise:Minimum of 5+ years of hands-on, professional Python development experience writing clean, production-grade code.
  Snowflake Ecosystem: Hands-on experience with Snowflake ML tools (Snowpark, Cortex AI, or Feature Store).
  DevOps Tools: Proven experience with Azure DevOps, Git, and automated CI/CD workflows.
  BI Tools: Strong knowledge or experience with Power BI, including DAX and data modeling techniques.
  Domain Experience: Deep understanding of the Retail industry and functional knowledge of the Order-to-Cash (O2C) process.
  Education: Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field.
  
  Key Skills to Focus On
  Python Expertise: Minimum of 5+ years of hands-on, professional Python development experience writing clean, production-grade code.
  Snowflake Ecosystem: Hands-on experience with Snowflake ML tools (Snowpark, Cortex AI, or Feature Store).
  DevOps Tools: Proven experience with Azure DevOps, Git, and automated CI/CD workflows.
  Streamlit: Knowledge will be an additional advantage.