Machine Learning Jobs in Gauteng
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Search Results - Machine Learning Jobs in Gauteng
Network Contracting-Johannesburg
We're looking for an experienced AI / Machine Learning Engineer to design, build, and deploy cutting-edge AI models and machine learning solutions. You'll work on exciting projects involving automation, predictive analytics, generative AI, and large...
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Zensar Technologies-Johannesburg
Senior Machine Learning Engineer
Location: JHB
Workplace Type: 3 days in office per week
Shape the Future of AI at Scale
Are you passionate about taking cutting-edge AI solutions from concept to production? Do you thrive at the intersection...
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Network Contracting-Johannesburg
Our client is a technology-driven organisation at the forefront of digital transformation. They are looking for a Machine Learning Engineer to design, develop, and deploy scalable machine learning models that support business growth and enhance...
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takealot.com-Centurion
Overview
Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Machine Learning Software Engineering Manager to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working...
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1 similar jobs: Durban
Psybergate (Pty) LTD-Johannesburg
What you will be doing:
• Design, prototype, build, deploy, and support production-grade Machine Learning, AI, and Generative AI solutions.
• Productionise and monitor Machine Learning models and pipelines using Databricks, including MLflow...
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1 similar jobs: Cape Town
Placements24-Carletonville
About the Role
Our client is seeking a highly skilled Machine Learning Engineer with a specialization in Computer Vision to join their innovative AI & Emerging Technologies team in Tembisa . This role is crucial for developing and deploying...
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Placements24-Randburg
About the Role Our client is looking for an exceptional Principal Software Engineer with expertise in Artificial Intelligence and Machine Learning to join their pioneering R&D team in Randburg . This senior role will be instrumental...
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Machine Learning jobs – More locations:
Placements24-Benoni
About the Role
Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their team in Benoni . You will be instrumental in building and maintaining the infrastructure and workflows required to deploy, monitor, and manage...
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Indsafri-Soshanguve
machine learning, AI and decisioning solutions that drive customer, risk and operational outcomes.
Key Responsibilities Develop, train and optimise machine learning models using Databricks, MLflow and distributed compute environments .
Build customer...
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Network Recruitment-Johannesburg
Pricing, Probability & Contingencies, predictive modelling and machine learning, while continuing to develop your technical actuarial knowledge and progress with your professional exams.
Key Responsibilities:
As an Actuarial Graduate, you...
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Network Contracting-Johannesburg
We're looking for an experienced AI / Machine Learning Engineer to design, build, and deploy cutting-edge AI models and machine learning solutions. You'll work on exciting projects involving automation, predictive analytics, generative AI, and large...
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Integrita Group-Soshanguve
science development process, including gaining a business understanding, defining the problem, data cleansing and feature engineering, business modelling and simulation, hypothesis generation and testing, machine learning model training, testing...
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The Hiring House-Johannesburg
What Youll Drive
• Design, develop, and maintain statistical, machine learning, and predictive models across regression, classification, clustering, time series, and anomaly detection
• Translate business challenges into analytical frameworks...
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Integrita Group-Carletonville
science development process, including gaining a business understanding, defining the problem, data cleansing and feature engineering, business modelling and simulation, hypothesis generation and testing, machine learning model training, testing...
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Integrita Group-Vereeniging (GP)
science development process, including gaining a business understanding, defining the problem, data cleansing and feature engineering, business modelling and simulation, hypothesis generation and testing, machine learning model training, testing...
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