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Senior Machine Learning Engineer II
CesiumAstro
Austin, USA
Full-time
Senior · 6+ years experience
Onsite
Discovered 1 weeks ago
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- Design, develop, and maintain deep learning pipelines for real-time data processing.
- Evaluate and curate relevant datasets; establish model benchmarks to measure performance.
- Improve observability and monitoring for deployed ML systems.
- Develop, deploy, and maintain microservices that deliver ML capabilities to production systems.
- Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines.
- Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications.
- Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems.
- Bachelor’s or higher degree in Computer Science, Engineering, or related technical field.
- 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations).
- Proficiency in Python with demonstrated experience implementing ML algorithms in production environments.
- Experience designing and maintaining APIs for ML services.
- Hands-on experience deploying and managing ML workflows in Kubernetes environments.
- Strong communication skills with the ability to clearly articulate complex technical ideas.
- Ability to work effectively in a collaborative, Agile engineering team.
- Knowledge of microservice architectures and distributed data systems.
- Familiarity with aerospace or defense applications of ML systems.
- Track record of contributing to early-stage or rapidly scaling teams.
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