Senior MLOps Engineer​/Data Scientist

Project description

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 Dev Ops for robust CI/CD automation. Additionally, you will translate complex data into actionable business insights using Power BI.

• 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 Dev Ops 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.

• 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).
• Dev Ops Tools:
  Proven experience with Azure Dev Ops, 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.

• 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).
• Dev Ops Tools:
  Proven experience with Azure Dev Ops, Git, and automated CI/CD workflows.
  9+ years of Domain
  
  Experience:
  
  Retail Industry, Demand forecasting, Inventory optimization, Customer analytics, Order-to-Cash (O2C) Billing, Cash application

Azure Machine Learning, Docker, Kubernetes, MLflow, Pandas, Num Py, Scikit-learn, Tensor Flow, PyTorch, Snowflake SQL, ETL/ELT, Data Warehousing, Azure Data Factory, Power Query, Time Series Forecasting, Demand Forecasting, Inventory Management, Customer Analytics, Credit Risk Analytics, REST APIs, PyTest, Agile/Scrum, Statistics, Feature Engineering, Experiment Tracking.