Model Optimization & Tuning: Conduct rigorous hyperparameter tuning and experiment tracking to systematically improve model performance, accuracy, and efficiency across all deployed models.
Data Analysis & Insight Generation: Perform deep-dive data analysis to identify trends, uncover opportunities, and inform model development strategy. Translate complex business problems into data-driven solutions.
Cross-Functional Collaboration: Work closely with our business functions and to understand requirements, deliver robust back end AI solutions, and integrate data science outputs into production systems and user-facing products.
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Exploring new technologies and analytics solutions, and using depths of knowledge in statistics and various machine learning tools to forecast and classify patterns in the data.
Increasing performance and accuracy of machine learning algorithms through finetuning and further performance optimisation.
Liaising and working closely with team and clients to clearly define and establish the requirements for each task.
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Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
Evaluating modelling results and communicating the results to technical and non-technical audiences.
Strong fundamentals in Mathematics and Computer Science (algorithms)
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Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
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Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
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