Forestry Jobs in Gauteng
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Search Results - Forestry Jobs in Gauteng
Professional Career Services-Johannesburg
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 Recruitment-Johannesburg
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 Recruitment-Johannesburg
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 Recruitment-Johannesburg
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...
Forestry jobs – More locations:
Network Recruitment-Johannesburg
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...
Boardroom Appointments-Vereeniging (GP)
Knowledge and understanding of FSC (The Forest Stewardship Council)
Suitable tertiary qualification in Quality Management; Subject matter expert in ISO 9001:2015 & 22000, FSC and
Good Manufacturing Practices.
Lead Internal Audits, Mentor and Coach.
Minimum...
wePlace-Johannesburg
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 Recruitment-Johannesburg
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 Recruitment-Johannesburg
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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