Forestry Jobs in Gauteng
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Search Results - Forestry Jobs in Gauteng
Professional Career ServicesJohannesburg
Security, forestry & Medical sectors)
• Achieving of sales targets
• Self-driven and motivated by strong commissions
Skills
• 5 + years experience in Sales & New Business Development
• 2-3 years experience in sales of IT Solutions/converged...
Network RecruitmentJohannesburg
A globally aligned organisation within the construction and forestry sector is seeking a highly analytical and detail-oriented Global Analyst Pricing and Product Systems to join their Marketing and Sales function. This role offers the opportunity...
Network RecruitmentJohannesburg
A globally aligned organisation within the construction and forestry sector is seeking a highly analytical and detail-oriented Global Analyst Pricing and Product Systems to join their Marketing and Sales function. This role offers the opportunity...
Network RecruitmentJohannesburg
machine learning techniques such as:
• Supervised learning (Random Forest, XGBoost, CatBoost, and Neural Networks)
• Unsupervised learning (clustering, isolation forests, and anomaly detection)
• Manage model risk across the full model lifecycle, including...
1 similar jobs: Stellenbosch
Forestry jobs – More locations:
Network RecruitmentJohannesburg
machine learning techniques such as:
• Supervised learning (Random Forest, XGBoost, CatBoost, and Neural Networks)
• Unsupervised learning (clustering, isolation forests, and anomaly detection)
• Manage model risk across the full model lifecycle, including...
Technical Advisor, Animal Health & One Health Systems - Pandemic Prevention Preparedness and Re[...]
Clinton Health Access InitiativePretoria
will be embedded within the CHAI South Africa programme delivery team, reporting to the Programme Manager and working in close collaboration with Department of Agriculture (DoA), NDoH, Department of Forestry, Fisheries, and Environment (DFFE), FAO, UNICEF and WHO...
wePlaceJohannesburg
Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)
• Unsupervised learning (clustering, isolation forests)
• Managing model risk across the endâtoâend model lifecycle, including:
• Feature engineering and data preparation
• Model...
Network RecruitmentJohannesburg
financial crime) models
• Work hands-on with advanced ML techniques, including:
• Ensemble methods (XGBoost, CatBoost, and Random Forest)
• Neural networks
• Clustering and anomaly detection models
• Manage the full model lifecycle:
• Data preparation...
Network RecruitmentJohannesburg
XGBoost, CatBoost, Random Forest, and Neural Networks)
• Unsupervised learning (clustering, anomaly detection, and isolation forests)
• Manage the full model lifecycle:
• Feature engineering and data preparation
• Model training, evaluation...
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