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
frameworks and algorithm tuning
Qualifications
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
performance full stack applications; integrating AI models and solutions into existing and new platforms and Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
candidate will develop software tools and data models to improve interpretation of mineralogical data development to extract appropriate information and modeling, simulation and interpretation of mineral behaviour J, VG StudioMax, Aviso, etc.). Coding and/or modelling experience, preferably with mineralogical/metallurgical/chemical
candidate will develop software tools and data models to improve interpretation of mineralogical data development to extract appropriate information and modeling, simulation and interpretation of mineral behaviour J, VG StudioMax, Aviso, etc.). Coding and/or modelling experience, preferably with mineralogical/metallurgical/chemical
understanding of dimensional models.
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience to ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience to ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your