Machine Learning Engineer, AI Applications - Shenzhen

Purpose of Position The Machine Learning Engineer, AI Applications will be responsible for supporting the design, development, testing, and deployment of AI-powered applications that improve business efficiency, customer experience, and decision-making across CASETiFY. The incumbent will work closely with AI engineers, data scientists, product managers, software engineers, and business stakeholders to build practical and scalable AI solutions in a fast-paced and dynamic environment. The incumbent is expected to bring solid technical foundations in machine learning, data processing, and software development, with strong interest in applied AI use cases such as large language model applications, intelligent automation, recommendation, classification, and predictive analytics. This role will contribute to experimentation, solution development, and continuous improvement of AI applications across the organization. Job Description Support the development, testing, and deployment of AI applications for internal productivity, customer experience, and business process optimization. Work closely with AI engineers, data scientists, product managers, and software engineers to translate business problems into practical AI solutions. Assist in building and improving machine learning and AI workflows, including data preparation, feature engineering, model integration, evaluation, and monitoring. Contribute to AI application development using machine learning models, LLM APIs, prompt engineering, retrieval-based approaches, and related technologies where appropriate. Support the implementation of AI use cases such as intelligent search, chatbot or assistant experiences, recommendation, text classification, content generation, anomaly detection, and workflow automation. Help prepare, clean, validate, and transform data for model development, experimentation, and application integration. Participate in model evaluation, experiment tracking, result analysis, and continuous tuning to