using sophisticated analytics and machine learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Analysis and Modelling: - Develop and deploy machine learning and artificial intelligence models and algorithms for modelling. - Work with data engineering teams to ensure data availability and quality. Model Evaluation - Evaluate model performance and fine-tune models for improved accuracy. - Deploy models in production
Back End developer to join their team on a Hybrid Model, in Centurion. Qualifications & Requirements: End Developer Cloud, preferably AWS experience Hands-on technical expertise in backend development J Self-motivated and energetic individual with a hands-on approach Good coding habits: (Reviews, TDD etc)
causes to the problems Study the problem at the hand of the contributory causes and propose solutions efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically
causes to the problems Study the problem at the hand of the contributory causes and propose solutions efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically
candidate must be competence and experience in hands-on software development and system integration candidate platforms MUST BE SKILLED IN PROGRAMMING Data modelling, database design, user interface design, prototyping candidate must be competence and experience in hands-on software development and system integration candidate platforms MUST BE SKILLED IN PROGRAMMING Data modelling, database design, user interface design, prototyping candidate must be competence and experience in hands-on software development and system integration candidate
candidate must be competence and experience in hands-on software development and system integration candidate platforms MUST BE SKILLED IN PROGRAMMING Data modelling, database design, user interface design, prototyping candidate must be competence and experience in hands-on software development and system integration candidate platforms MUST BE SKILLED IN PROGRAMMING Data modelling, database design, user interface design, prototyping candidate must be competence and experience in hands-on software development and system integration candidate
Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: The Data Engineer will have for data analysis, data manipulation, and data modelling. The candidate will be responsible for understanding Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modelling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: The Data Engineer will have for data analysis, data manipulation, and data modelling. The candidate will be responsible for understanding Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modelling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
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
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech Competence in coding languages like Python and R Hands-on exposure to AI frameworks and toolkits Proficiency 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