Role Highlights
- Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies.
- Improve, expand, and streamline our existing deployment pipelines to help support faster deployments and automated model retraining.
- Collaborate with Data Scientists to understand model requirements and provide guidance to ensure a seamless integration with production environments
- Develop automations that empower the data scientists to self-serve, remove manual steps from our processes, and streamline their training processes
- Build and maintain production level inference environments, including low latency real-time APIs and batch predictions, and monitor these environments to ensure we conform to our SLAs regarding uptime, resiliency, and latency
- Work with modern CI/CD tools to help deploy ML/AI models at scale in a production setting.
- Enjoy a great company culture rich in collaboration, teamwork, no politics, learning, and frequent wins
To be successful in this role:
- At least five (5) years of professional engineering experience or work program equivalents in a relevant field
- Experience in operationalization of Data Science projects (MLOps) on AWS, specific experience with EKS, Lambda, Step Functions, and Sagemaker
- Experience designing, building and operating container-based cloud infrastructure with Terraform and other infrastructure-as-code tools in a production setting
- Experience in CI/CD pipeline implementation; experience with ArgoCD, Argo Workflows and Github Actions a plus
- Proficiency in Python used both for ML and general software engineering tasks. Good knowledge of Bash and Unix command line toolkit
- Extensive knowledge of the machine learning development lifecycle and associated tooling; demonstrated experience with Metaflow, Flyte, Kubeflow, etc.
- Demonstrated experience building production-grade, RESTful APIs for ML products; experience building data scientist tooling a plus
- Ability to work in a fast-paced environment and strong technical communication skills
- Enjoy a culture rich in direct communication, no politics, and continual learning - where we celebrate success and have fun too
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