Lead the development and deployment of robust data science and machine learning pipelines, from data retrieval and preprocessing to model training, inferencing, and results visualisation;
Take ownership of the architecture and optimisation of DS/ML pipelines to ensure scalability and efficiency;
Leverage ML models to build innovative solutions for tasks such as text generation, content automation, and more;
Collaborate with cross-functional teams to integrate advanced data solutions that meet evolving business needs;
Guide tools, strategies, and best practices to solve complex data science problems, including those involving LLMs and Generative AI;
Share expertise with the team and across departments to elevate the overall technical capabilities of the organisation;
Proactively identify opportunities to improve data processes, model performance, and business impact.