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Forestry Jobs in Western Cape

1 - 9 of 9
1 - 9 of 9
Search Results - Forestry Jobs in Western Cape
wePlace-Cape Town
Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)  •  Unsupervised learning (clustering, isolation forests)  •  Managing model risk across the end‑to‑end model lifecycle, including:  •  Feature engineering and data preparation  •  Model...
Bilnor Labour-Piet Retief
and Safety Officer, preferably in both Forestry and Mining environments.  •  Strong understanding of safety protocols in high-risk, remote, or environmentally sensitive work sites.  •  Proven experience conducting risk assessments, incident investigations, audits...
Datafin IT Recruitment-Cape Town
of identity privilege models, moving legacy environments from traditional AD Tiering (Tier 0/1/2), Red Forest / Bastion models, and Delegation of Control Frameworks toward Microsoft’s modern Enterprise Access Model (EAM). Entra ID & Hybrid Identity Security...
Capitec-Stellenbosch
Forest  •  XGBoost  •  Classification Models  •  Regression Models  •  Clustering Techniques  •  Evaluate model performance and recommend enhancements.  •  Support model deployment and production monitoring activities.  •  Conduct model testing and performance...
capitecbank.co.za -

Forestry jobs – More locations:

Communicate Recruitment-Cape Town
thinking engineering. Here, your ideas will help shape the future, your craftsmanship will be valued, and every challenge is another chapter in an exciting story  •  So if you're ready to leave the ordinary forest behind and build data solutions worthy...
Network Recruitment-Stellenbosch
skills with experience working on large and complex datasets.  •  Hands-on experience with machine learning techniques including:  •  XGBoost  •  CatBoost  •  Random Forest  •  Neural Networks  •  Clustering  •  Anomaly Detection Apply now! For more exciting Finance...
ARVO-Cape Town
with shortlisted candidates at the interview stage. Requirements About You  •  Bachelor’s Degree in Agriculture, Forestry, or a related field.  •  3–5 years’ experience in agriculture or field-based operations, preferably in a supervisory role.  •  Independent...
workable.com -
Network Recruitment-Stellenbosch
skills with experience working on large and complex datasets.  •  Hands-on experience with machine learning techniques including:  •  XGBoost  •  CatBoost  •  Random Forest  •  Neural Networks  •  Clustering  •  Anomaly Detection Apply now! For more exciting Finance...
wePlace-Cape Town
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...

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