Responsibilities

1. Design and develop end-to-end software architectures for generative AI and machine learning projects, including frontend, backend, and data storage components

2. Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project requirements and translate them into efficient and scalable architectural solutions.

3. Evaluate and select appropriate technologies, frameworks, and tools to build high-performance, reliable, and maintainable systems.

4. Implement best practices for software development, including version control, testing, and continuous integration/continuous deployment (CI/CD)

5. Develop and maintain technical documentation, including architecture diagrams, design specifications, and user guides

6. Stay up-to-date with the latest industry trends and advancements in generative AI, machine learning, and software development, and incorporate them into our projects as appropriate.

7. Ensure the successful deployment and ongoing maintenance of our generative AI and machine learning systems, troubleshooting and resolving any issues that may arise