- Work with Business stakeholders to define key Business questions and requirements, and drive new and innovative AI/ML solutions, including Generative AI (i.e. Large Language Models), to capture new opportunities and combat existing challenges.
- Design and implement end-to-end AI/ML solutions, including establishing data pipelines, data preparation and processing, model development, and deployment.
- Assist with the enhancement of MLOps process to establish best practices.
- Design and implement analytics dashboards using QlikSense or PowerBI. This includes data preparation, data model development and deployment.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field, with at least 3 to 5 years of relevant working experience.
- Experience in translating business questions into analytical problems and using statistical techniques to derive actionable insights.
- Deep understanding and hands-on experience in statistical modelling (e.g. linear regression, time series), supervised machine learning (e.g. Gradient Boosted Trees, Neural Networks), Generative AI (including LLMs), segmentation/ clustering, recommendation systems, text analytics and network analysis
- Experience in using analytic tools E.g. Dataiku, Qlik Sense, PowerBI.
- Proficient in programming languages e.g. Python and R.
- Knowledge of MLOps best practices
- Experience with deploying AI solutions using various tools and platforms, including containers.
- Preferably have completed at least one (1) project using Scrum or equivalent Agile development framework.
