Machine Controler In Anglo Coal Jobs in South Africa
IT / Computing / Software
- Isanqa (15)
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- Last 7 days (43)
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Senior Analyst Data Stellenbosch
Optim-g Pty Ltd T/a Optim-g Pty Ltd
Stellenbosch
R700 - R780 End Credit Lifecycle" Must have mature exp with Machine Learning Operations Must have: Matric Relevant End to End Credit Lifecycle Hands on exp with Machine Learning Operations.
share this job on whatsappSenior Bi Business Analyst Stellenbosch
Optim-g Pty Ltd T/a Optim-g Pty LtdStellenbosch
Analysis on End to End Credit lifecyles Involved with Machine Learning operations. Must have: Matric Relevant "End to End Credit Lifecycles" Mature Exp with Machine Learning Operations.
Data Scientist
Gauteng
Market related acquisition, data cleansing, data transformation
Machine learning algorithms to uncover patterns, make predictions
Backend Developer Midrand
IsanqaSouth Africa
Nonlinear Optimization Experience with Control Theory Experience with Machine Learning Experience with Design
Data Scientist Gauteng
Deloitte Consulting Ltd - WoodmeadSouth Africa
acquisition, data cleansing, data transformation Machine learning algorithms to uncover patterns, make predictions
Application Developer
GoldenruleSouth Africa
collateral, training Technical Lead Moving between machines.
Data Scientist
Johannesburg
Negotiable data confidentiality with role-level security controls.
Regional Specialist Johannesburg
Mediro Ict RecruitmentJohannesburg
processing performance relating to system and machine utilisation, reliability and capacity Forecast systems, surveillance infrastructure and access control. Integration Planning: Planning and implementing
Software Developer Pretoria
Mediro Ict RecruitmentPretoria
(MongoDB, Express, Angular, NodeJS) development. Machine learning. Conversational bots (GenAI). Working VMware Horizon). Automated problem remediation. Machine learning (ML) for data analytics. Understand Rest
Senior Business Analyst Johannesburg
Owethu Managed ServicesJohannesburg
measures, including process enhancements, system controls, and policy updates to mitigate fraud risks and measures, including process improvements, system controls, and policy updates. Conducting fraud risk assessments vulnerabilities and gaps in existing fraud prevention controls. Developing and implementing fraud awareness and methodologies, tools, and technologies, including machine learning, predictive modeling, and anomaly detection
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