My client is a leading blockchain firm with a significant presence in the APAC region. To support their growth, they are now looking to hire multiple AI Engineers to join their team in Hong Kong.
Why Join Them?
- Dynamic and Innovative Culture: A forward-thinking environment that attracts individuals passionate about cryptocurrency and blockchain technology.
- Excellent Benefits: Competitive pay, performance-linked bonuses, free lunch, and a supportive work environment.
- Learning Opportunities: Continuous growth and development in a fast-evolving industry
Below is the role that they're looking for within AI space:
AI Senior Engineer (On-Chain Anti-Fraud)
- What they do : Develop AI models (e.g., transformers, graph algorithms) to detect and prevent fraud in crypto transactions. Collaborate with data teams to enhance fraud detection systems and ensure platform-safety.
- Requirements: 3+ years of experience in fraud detection, expertise in graph models, transformer models, and blockchain technology.
AI Senior/Lead Engineer (Recommendation)
- What they do: Build and optimize recommendation algorithms for personalized user experiences, using techniques like collaborative filtering, deep learning, and multi-modal learning. Improve content feeds and user engagement
- Requirements: 5+ years in recommendation systems, experience with machine learning frameworks (TensorFlow/PyTorch), and expertise in large-scale data processing (Spark, Hadoop).
AI Senior Engineer (Computer Vision)
- What they do: Develop computer vision solutions for deepfake detection, OCR, and biometric security. Work on AI-generated content (AIGC) and multi-modal security systems.
- Requirements: 3+ years in computer vision, expertise in deep learning frameworks (TensorFlow/PyTorch), and experience in liveness detection and deepfake detection.
AI Senior/Lead Engineer (LLM, Chatbot, GenAI)
- What they do: Develop NLP and LLM-based solutions for AI-generated content (AIGC), SEO optimization, and chatbots. Fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) techniques.
- Requirements: 5+ years in NLP/LLMs, expertise in Transformer models, prompt engineering, and deploying open-source LLMs.
If you or anyone in your network might be interested, I’d be happy to provide more information or discuss further. Please share your CV or drop me a line at [via CTgoodjobs Apply Now].
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