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 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
solutions to support the current and future business model. Key Performance Areas:QualityOn-time Services
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
Responsibilities: Demonstrate expertise in data modelling Oracle SQL Exceptional analytical skills analysing API's is a bonus Knowledge of the Agile Working Model Qualifications and Experience: Relevant IT / Business Build/Pipeline CloudFormation Technical data modelling and schema design (“not drag and drop”) Kafka
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
Qualifications and Experience:
Build/Pipeline
DESCRIPTION Key Responsibilities: • Prepares, transforms, models data and resolves conflicting sources of data and transformation for predictive or prescriptive modelling • Responsible for technical testing services across Backend) • Experience of relational and NoSQL data modelling approaches • Experience of at least one packaged packaged ETL tool • Technical expertise with data models, data mining, and segmentation techniques • Extensive Extensive hands-on experience with BW Data modelling and SQL database design • Data engineering certification