Key job responsibilities:• Contribute to the design and development of AI services in cloud environments (AWS), with a focus on implementing novel applications• Assist in the technical implementation of ML systems, including model training pipelines and inference services• Help identify and evaluate new AI/ML technologies, assessing their potential applications for Ring products• Work collaboratively with cross-functional teams including Data Scientists, Product Managers, and other ML Engineers to implement AI-driven features• Apply and help improve MLOps practices, including techniques for efficient experimentation and transition to production• Actively participate in code reviews and contribute to improving the overall quality of the team's codebase• Provide input on both software engineering and machine learning best practices within the team• Assist in the operation and monitoring of experimental ML services as they transition to production environments• Stay current with AI/ML advancements and share knowledge with the team• Contribute to the documentation of systems and processes
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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