Generative AI Model Developer Expert
1 day ago
Pantheon Lab Limited is a leading Generative AI company specializing in digital human technologies and advanced digital assistant solutions.
We are committed to building an evolving AI ecosystem powered by deep learning, and we're looking for talented professionals to join our team.
About the Role:
We are seeking a skilled Artificial Intelligence Product Engineer to join our team. As a member of our team, you will be responsible for designing and developing advanced digital human technologies powered by deep learning.
Key Responsibilities:
- Design and develop generative AI models (e.g., GANs, VAEs, transformers) for APAC projects and company products related to Digital Humans and Gen AI solutions.
- Partner with AI, software development, and PMO teams to understand business needs and integrate Gen AI models into real-world applications.
- Conduct research to explore new techniques and methodologies in generative AI.
- Ensure successful deployment of models in production environments and monitor their performance for ongoing optimization.
- Experiment with datasets to optimize model performance and accuracy.
- Analyze results, troubleshoot issues, and refine models based on feedback.
- Document development processes, findings, and best practices for future reference.
- Stay updated with the latest advancements in generative AI and related fields.
- Participate in team meetings and contribute ideas for product development and improvement.
Requirements:
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- In-depth knowledge and hands-on experience in areas including but not limited to computer vision and neural networks, e.g., GANs, VAEs, ViTs, CNNs.
- Experience with generative modeling techniques and frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python and familiarity with libraries.
- Understanding of deep learning architectures and their applications in generative tasks.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and teamwork skills.
- A proactive attitude and a passion for exploring new technologies in AI.
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