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docker aws postgresql sql python📋 Description
- Build and deploy scalable AI services and imaging pipelines to production.
- Contribute to system architecture design and balance performance, security, maintainability.
- Own full lifecycle delivery of features—from planning to post-release observability.
- Support high availability and observability; improve alerts, logs, and incident response.
- Uphold engineering standards via code reviews, mentorship, and documentation.
- Collaborate across AI and engineering to reduce silos and ensure continuity.
🎯 Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
- 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
- Demonstrable capability in designing, implementing, and securing RESTful web services
- Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
- Experience with AWS, GitHub, and continuous integration pipelines
- Proven track record of delivering scalable systems in production environments.
🎁 Benefits
- Remote-first culture with optional on-site offices in Denver, NYC, Dallas, Lisbon.
- Travel for team meetings; some roles may require up to 90% travel.
- Access to Google Workspace, Slack, Confluence/Jira, and Zoom.
- Work on cutting-edge, regulated AI imaging in healthcare.
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