Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Plan and lead the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing.
• Identify and develop core data and AI science components for the delivery of projects, architect specialised database and computing environments, explore and visualise complex data set to provide incremental business value.
• Extract and integrate data from various sources, and create advanced models and algorithms suitable for the business use case.
• Conduct testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment.
• Work in a team setting and apply proficient in statistics, scripting and programming languages required by the firm.
• Work with relevant software platforms on which the solution is deployed.