cases. 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 variety (must). Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP and Skills Strong data exploration, analytical, modeling, and reporting skills Strong communication and
predictive models. Increase the profitability and efficiency of business units using predictive models and BI Experience in developing and implementing predictive models. Strong communication and presentation skills.
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. - Aid in creating internal audit models and reports to identify risks and risk areas - Documentation up to date and the maintenance of semantic model R 1000 - R 1001 - Annually
develop data models and pipelines for research, reporting, and machine learning
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
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems
business objectives.
Qualifications and Experi
data analysis, machine learning, and predictive modelling.