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Software Engineer, Machine Learning
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- Work in agile pods to design and build cloud hosted, Client products with automated pipelines that run, monitor, and retrain Client Models
- Notes: Graduate degree in Computer Science, Information Systems, Software Engineering or another quantitative field.
- Graduate degree in Computer Science, Information Systems, Software Engineering or another quantitative field.
- Ability to work across the full stack and move fluidly between programming languages (e.g.: Python, SQL, Spark) and ML frameworks (e.g.: Airflow, MLFlow, Argo).
- Experience specifying infrastructure and Infrastructure as a code (e.g.: Docker, Kubernetes, EKS, Terraform).
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