The Senior Python Engineer will be in charge of building and maintaining a feature store that delivers real-time data to ML and AI Models. Collaborate in designing a feature store as a distributed system, integrating with the Data Platform’s Event-Driven architecture to compute and deliver real-time features and analytics for ML and AI models.
What You'll Do
Build and maintain a feature store that delivers real-time data to ML and AI Models
Collaborate in designing a feature store as a distributed system, integrate with Data Platform’s Event-Driven architecture to compute and deliver real-time features and analytics for ML and AI models
What You'll Need
5+ years experience working on software engineering, using Python
3+ years experience working with Django | Flink | FastApi
Experience deploying infrastructure as code using CloudFormation or Terraform in AWS, GCP, or Azure
Nice to Have
2+ years of engineering experience using streaming tools like Kafka, AWS Kinesis, and Flink
Plus: previous experience working with MLEs or DS's, building and maintaining a Feature Store