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
0 applies
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