Conduct applied research in computer vision and multimodal learning, with a focus on developing novel algorithms, improving model accuracy and robustness, and reducing computational and inference overhead.
Education: Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related technical discipline.
End-to-End Development: Lead the design and implementation of robust, scalable software applications with Flutter/React and complementary technologies.
Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
Support the deployment, configuration, and maintenance of high-end servers, storage servers, networking equipment, and software components in secure environments.
Design, build, and maintain end-to-end machine learning pipelines on Databricks, covering data preparation, feature engineering, model training, evaluation, and deployment.
Work with POSH business functions to understand operational workflows, identify AI opportunities, and validate that proposed solutions address the right problems.
Conduct skills gaps analysis and training needs assessment, to develop training roadmaps and tailor training to address the gaps. Organize and/or conduct programmes to equip MPA officers with the knowledge and skills to perform his job productively.