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Senior Software Engineer, ML Infrastructure - Remote Eligible
Drive the creation of robust CI/CD pipelines for deploying geospatial machine learning models.
Remote
Expert
2 weeks ago
Planet Labs
Provides satellite imaging and geospatial data to empower decision-making with daily global coverage.
Job is no longer active
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✨ About The Role
- This role focuses on building and managing MLOps workflows for monitoring, retraining, and deploying production models and data services.
- The candidate will integrate ML models into the compute platform and ensure robust operations and support.
- Maintaining DevOps tooling, including infrastructure as code and CI/CD pipelines, is a key responsibility.
- The position requires ensuring the reliability, scalability, and security of geospatial ML products for both internal and external customers.
- Collaboration with adjacent ML and software engineering teams is essential to define best practices for efficient deployment and maintenance of geospatial models.
âš¡ Requirements
- The ideal candidate will have over 10 years of software engineering experience, with a strong emphasis on developing production-scale systems.
- A background in DevOps/MLOps is essential, particularly with experience in containerization and orchestration technologies.
- Proficiency in Python within a Linux environment is required, along with excellent collaboration skills to work effectively with data scientists and pipeline teams.
- Strong communication skills are necessary to explain technical topics to diverse audiences.
- A Master's degree in a STEM or analytics-focused field is preferred, or equivalent work experience.
Senior Software Engineer, ML Infrastructure - Remote Eligible
Remote
Software
Job is no longer active
About Planet Labs
Provides satellite imaging and geospatial data to empower decision-making with daily global coverage.