Description

You will analyze and model fraudulent activity within digital advertising platforms.

Responsibilities

• Develop and deploy fraud detection models using ML frameworks.
• Process and query large datasets related to ad activity using SQL and Spark.
• Manage data pipelines and storage within the Azure ecosystem.
• Operate and maintain containerized fraud detection services on Kubernetes.

Required Skills

• 5+ years of experience in data analysis or machine learning.
• Expertise with Python and SQL.
• Strong experience with Azure ML, Synapse, and Data Factory.
• Proficiency with Spark on Azure Databricks.
• Hands-on experience with PyTorch and SciKit-Learn.
• Familiarity with data storage solutions like Cosmos DB and Data Lake.
• Experience deploying services using Kubernetes.

Key Skills

Education

Any Gradute