senior ai engineer - aigc and computer vision.

about the company.
Our client is one of the well-established Financial Institutions and now they are looking for Senior AI Engineer specializing in AI-Generated Content (AIGC) and Deepfake generation and detection to safeguard their systems and enhancing security across applications

• Design and deploy advanced AI models for generating and detecting deepfakes and other AI-generated content, leveraging large-scale datasets.
• Integrate cutting-edge deepfake detection mechanisms to strengthen the security of financial applications and protect against potential threats.
• Work closely with security, compliance, and legal teams to ensure AI solutions align with financial industry regulations and company policies.
• Contribute to the strategic development of AI initiatives aimed at improving system security and regulatory compliance.
• Keep up-to-date with the latest advancements in AI, generative models, and deepfake technologies to maintain a competitive edge.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.
• With at least solid 3 years' experience in AI and machine learning, with a strong emphasis on generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
• Expertise in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Keras.
• Solid experience with computer vision techniques and image/video processing relevant to deepfake technologies.
• Proven ability to work with large datasets and high-performance computing resources.
• Strong understanding of ethical considerations in AI, particularly related to generative technologies and their societal impact.
• Excellent analytical and problem-solving skills, with the ability to thrive in a fast-paced environment.
• Strong interpersonal and communication skills to collaborate effectively with diverse stakeholders.
• Publications or contributions to open-source projects in AI or machine learning.
• Experience deploying AI models on cloud platforms such as AWS, Azure, or Google Cloud.
• Proficient in Chinese and English