CASETiFY
MachineLearningEngineer,AIApplications
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“Machine Learning Engineer, AI Applications at CASETiFY. Skills: Machine Learning, AI Applications, Python, LLM. supporting the design, development, testing, and deployment of AI-powered applications. build practical and scalable AI solutions”
What You'll Achieve.
improve business efficiency; improve customer experience; improve decision-making; improve solution quality and business relevance
Industry & Context.
Good problem-solving and analytical skills with the ability to learn quickly and work on practical business use cases
Happy to work in a buzzing multicultural environment
What They're Looking For.
Must Have
Solid foundation in machine learning, statistics, data processing, and software engineering principles, Hands-on experience in Python, Good understanding of applied machine learning workflows including data preparation, model training, evaluation, inference, and performance tracking, 2-3 years of relevant working experience in machine learning, AI engineering, data science, software engineering, or related technical roles, Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or related disciplines
Nice to Have
Exposure to AI application development such as LLM-based solutions, prompt engineering, retrieval-augmented workflows, recommendation, classification, or predictive analytics, Familiarity with APIs, backend integration, data pipelines, and application development concepts is a plus, Basic understanding of cloud environments, model deployment, version control, and MLOps concepts is preferred, Internship or project experience in AI applications, machine learning solutions, or LLM-related work will be an advantage, Experience in e-commerce, retail, digital products, or customer-facing environments is a plus, proficient spoken and written Chinese is a plus
What You'll Do.
supporting the design
and deployment of AI-powered applications
build practical and scalable AI solutions
and continuous improvement of AI applications
Support the development
and deployment of AI applications for internal productivity
and business process optimization
Assist in building and improving machine learning and AI workflows
including data preparation
Contribute to AI application development using machine learning models
retrieval-based approaches
and related technologies
Support the implementation of AI use cases such as intelligent search
chatbot or assistant experiences
and workflow automation
and transform data for model development
and application integration
Participate in model evaluation
and continuous tuning to improve solution quality and business relevance
Support the setup of development workflows
and basic MLOps practices
Assist in monitoring model and application performance
and supporting troubleshooting and improvement activities
How You'll Work.
Team & Collaboration
work closely with AI engineers, data scientists, product managers, software engineers, and business stakeholders; Collaborate with software engineering teams to integrate AI capabilities into enterprise systems, digital products, and internal tools; Able to work collaboratively with cross-functional teams including product, engineering, data, and business stakeholders; work effectively in team environments
Communication Scope
Good communication skills with the ability to explain technical concepts clearly and work effectively in team environments
Full Job Description
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
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