- Develop, deploy, and maintain AI-powered applications and services.
- Integrate and operationalize machine learning and generative AI models.
- Monitor model performance, quality, and reliability in production.
- Troubleshoot issues related to AI systems and model outputs.
- Improve model performance through testing, evaluation, and optimization.
- Contribute to the development of the AI Validation platform.
- Evaluate AI-generated outputs for accuracy, consistency, and linguistic quality.
- Design validation methodologies and evaluation metrics, and benchmark different AI models and approaches.
- Analyze model failures and recommend improvements.
- Collaborate with Data Scientists, Data Engineers, and business stakeholders; translate business requirements into scalable AI solutions and document technical solutions and best practices.
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