Top Generative AI Developer Interview Questions 2024 | HopHR

To understand if a candidate for a Generative AI Developer position fits the role, here are some tailored interview questions:

1. Can you explain the differences between discriminative and generative models in machine learning? Could you give examples of each?
2. Describe a recent project you worked on that involved generative AI. What was your role, and what technologies did you use?
3. How do you approach dataset preparation and preprocessing for training generative models?
4. Walk me through how you would design and train a Generative Adversarial Network (GAN) for image generation. What metrics would you use to evaluate its performance?
5. Have you ever had to overcome a situation where your generative model suffered from mode collapse? How did you handle it?
6. In your experience, what are some ethical considerations when working with generative AI, particularly in the context of deepfakes or content generation?
7. What are your thoughts on the current state of generative AI research and where do you see it heading in the next few years?
8. How do you stay updated with the latest advancements in AI, and ​​can you discuss a recent research paper that intrigued you?
9. Can you discuss a time when you optimized a generative model for better efficiency or performance? What steps did you take?
10. How comfortable are you with deploying AI models in production? Can you talk about any experience you have with MLOps practices?

These questions should provide a comprehensive understanding of the candidate's technical abilities, practical experience, problem-solving skills, and awareness of the ethical implications of their work in the field of generative AI.