Responsibilities:

• Focus on transitioning machine learning models from development to business application with high performance, ensuring successful deployment of the models and integration into existing systems and infrastructure

• Collaborate with business users, developers, infrastructure team and relevant external parties to work on machine learning models that can meet the target business requirements and performance.

• Design and implement machine learning inference for running the models to work on live data and produce an actionable output efficiently.

• Prepare technical documents and reports.

• Participate in project meetings to report responsible tasks progress and follow-up actions

Requirements:

• Degree holder in Computer Science, Data Science or relevant discipline;

• At least 6 years of IT work experiences with minimum 2 years of practical experiences in deployment / performance tuning of AI models (for text analytics) and delivering complex data integration projects

• Knowledgeable in supervised machine learning algorithms particularly BERT LLM and LightGBM Random-forest model

• Proficiency in Python programming using essential libraries such as NumPy, Pandas, Scikit-learn, PyTorch, etc. Familiar with ONNX framework for model deployment and FLASK API python development are a plus

• Excellent problem-solving abilities

• Good communication skill in both spoken and written English and Chinese

If you're interested in this role, please click the Apply button above or via Linkers website at https://jobs.linkerscareers.com/ with your CV.

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