Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
Knowledge of Python and R Understanding of predictive modelling techniques and machine learning algorithms DUTIES: outcomes Identify risks associated with predictive modelling and mitigation thereof Integrate various datasets
background Experience with physics and reality modelling, 3D graphics, hardware control, motion feedback
Implements a product management, team-based, operating model that is business aligned and ensures an agile response
data integration work, including developing data model. Maintaining a data warehouse and analytics environment
data integration work, including developing data model. Maintaining a data warehouse and analytics environment
data analytics tools and techniques like data modelling & visualisation, wireframing, ETL. Excellent