Lead Engineer
Company | The Atlantic |
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Location | Washington, DC, USA, New York, NY, USA |
Salary | $145000 – $160000 |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
Requirements
- Experience with cloud infrastructure, particularly AWS services like Lambda, SageMaker, ECS, EKS or similar technologies
- Comfortable with infrastructure as code using Terraform and CI/CD pipelines
- Proficient with modern web frameworks and technologies
- Experience in deploying and scaling systems for at least six years
- Worked with Python and AWS at scale
- Ability to distill complex technical ideas for a diverse set of stakeholders
- Ability to articulate solutions based on high-level requirements
- Open to new approaches and can judge when such approaches are ready for prime time
- Creative ideas about fostering positive working relationships
Responsibilities
- Design and implement infrastructure for deploying machine learning models into production environments
- Architect systems that use ML to perform tasks, make decisions, and interact with users while maintaining appropriate guardrails and human oversight
- Build web-based interfaces and APIs for machine learning solutions
- Implement CI/CD pipelines for machine learning deployments using GitHub Actions, Terraform, and Kubernetes
- Work with the Director of Applied AI to turn research prototypes into scalable, production-ready systems
- Enhance content management systems with AI capabilities to improve editorial workflows
- Create monitoring systems to track model performance in production
- Establish best practices for ML deployment, versioning, and operations
- Regularly contribute high-quality, well-tested code across machine learning infrastructure
Preferred Qualifications
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No preferred qualifications provided.