- Strong background in machine learning and deep learning algorithms.
- Proficiency in Python, TensorFlow, and PyTorch for developing AI models.
- Experience in generative AI techniques such as GANs and VAEs.
- Ability to design and implement scalable and efficient AI systems.
- Advanced knowledge of natural language processing for text generation tasks.
- Familiarity with computer vision and image generation using AI.
- Skills in data preprocessing and feature engineering for AI model training.
- Strong understanding of neural network architectures and optimization techniques.
- Experience in deploying AI models into production environments.
- Ability to stay updated with the latest advancements in generative AI research and incorporate them into work.
- Design and develop algorithms for generative models using deep learning techniques.
- Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
- Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.
- Optimize and fine-tune generative models for performance and efficiency.
- Troubleshoot and resolve issues related to generative AI models and implementations.
- Create and maintain documentation for generative AI models and their applications.
- Communicate complex technical concepts and findings to non-technical stakeholders.
