Responsibilities
- Direct the development of APIs, ensuring they are robust, scalable, and adhere to high engineering standards.
- Design interfaces between our backend audio processing interfaces and our machine learning models.
- Define and drive improvements in key infrastructure components for conversational AI development, training, deployment, and scaling.
- Enable solutions from development to production, ensuring they are robust, scalable, and reliable and integrate well with our machine learning team.
Requirements
- Proven experience in designing and implementing scalable, robust backend systems.
- Curiosity of machine learning concepts, algorithms, and infrastructure requirements.
- Expertise in languages such as Go, Python, Java, C++, or similar, with a focus on backend development.
- Hands-on experience with cloud services like AWS, Google Cloud, or Azure, specifically for deploying ML models and backend services.
- Extensive experience in designing, developing, and maintaining APIs for seamless integration of backend services.
- Strong knowledge of database technologies, both SQL and NoSQL, and experience in optimizing database performance.
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