- Build and maintain APIs that integrate generative AI models into production systems, with a focus on scalability and low latency.
- Collaborate with cross-functional teams to identify use cases for generative AI, define requirements, and contribute to impactful solutions.
- Implement and optimize workflows for model inference using large-scale pre-trained models.
- Contribute to generative AI model pipelines, supporting monitoring and ongoing performance.
- Conduct experiments to evaluate generative AI models against real-world performance metrics such as fluency, coherence, and factual accuracy.
- Stay current with advancements in generative AI research and help integrate new techniques into the organization’s capabilities.
- Support the reliability, scalability, and security of generative AI systems in deployment.
- Document processes, architectures, and technical decisions to facilitate collaboration and future improvements.
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