AI Specialist | Deploy AI/ML solutions | Perm | 30 -35k

• Conduct data collection, cleaning, and feature engineering
  
• Establish data pipelines and ensure data quality and governance compliance
  
• Research, prototype, and implement machine learning and deep learning models
  
• Customize off -the -shelf or open -source AI tools (e.g. Azure ML, Hugging Face, Watsonx, Dify) for business needs
  
• Perform rigorous validation, hyper -parameter tuning, and bias/error analysis
  
• Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the company’s technology stack, adhering to CI/CD best practices
  
• Implement monitoring frameworks to track model performance, drift, and resource utilization
  
• Continuously refine models to maintain accuracy, efficiency, and compliance with governance policies
  
• Create technical documentation, run workshops, and support internal teams in understanding and leveraging AI tools
  
• Contribute to the development of AI standards and playbooks
  
• Stay current with academic research and industry trends
  
• Pilot cutting -edge AI techniques and recommend their adoption where they deliver clear business value
  
• Perform other duties as assigned by supervisor(s)
  

Requirements

• University degree preferably in Information Technology, Computer Science Fintech, Artificial Intelligence, or related disciplines
  
• At least 3 years of hands -on experience in machine learning, data science, or AI engineering roles, preferably within enterprise environments
  
• Portfolio of deployed models (GitHub, case studies)
  
• Proficiency in Python or R, machine learning frameworks and libraries (TensorFlow, PyTorch, scikit -learn), SQL, and experience with cloud AI/ML services (AWS, Azure, GCP) and MLOps (Docker, Kubernetes, MLflow)
  
• Strong problem -solving skills, statistical knowledge, and familiarity with data governance and ethical AI considerations
  
• Effective communicator capable of translating technical details into business -relevant insights
  
• Good command of written and spoken English and Chinese, with proficiency in Putonghua is an advantage