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  • Posted: Apr 22, 2025
    Deadline: Not specified
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  • Exxaro is one of the largest South African-based diversified resources groups. It is listed on the JSE Limited where it is a constituent of the Socially Responsible Investment (SRI) index. The group’s current business interests span South Africa, Botswana, Republic of the Congo and Australia. At present, Exxaro produces over 39 million tonnes of coal per a...
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    Lead, Business Solutions

    QUALIFICATIONS:

    • BSc (Hons) Information Systems Techn (Essential/Minimum)
    • BSc (Hons) Relevant (Essential/Minimum)
    • Management Development Programme (Essential/Minimum)
    • Certificate ITIL Foundation (Essential/Minimum)

    EXPERIENCE:

    • 8-10 years Relevant experience in Information Technology solution design and delivery, preferably in a diverse set of roles (e.g. programmer, business analyst, architect, project manager) with proven business aptitude in one or more relevant business area (e.g. Plant, Mining, Business Intelligence) Minimum 10 years of experience in IT, with a focus on business solutions, Software Development Life Cycle, ERP systems, and operational technology. 
    • Proven experience in managing large-scale IT projects and programs, with a strong track record of delivery.
    • Experience in leading cross-functional teams, including IT, business stakeholders, and external partners. - Strong understanding of business operations, processes, and systems, with experience in identifying opportunities for improvement.
    • Experience with SAP solutions, including implementation, configuration, and optimization.
    • Experience with IT service management frameworks, such as ITIL, COBIT. - Strong analytical, problem-solving, and communication skills (Essential/Minimum) Operational

    REQUIREMENTS:

    • COBIT 5 Foundation (Recommended/Desirable)
    • Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)
    • Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)

    Duties & Responsibilities    
    Ideal Candidate Profile (Includes but not limited to):

    Ability to:

    • To lead the support and maintenance of business solutions, including ERP, Operational Technology, Enterprise Data Services, and other critical systems, to drive business value, improve operational efficiency, and enable strategic growth.
    • This role ensures alignment with organizational objectives, effective utilization of technology and resources, high-quality service levels, minimal system downtime, and optimal resource utilization

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    Machine Learning Operations Engineer (MLOps)

    Minimum Requirements    
    QUALIFICATIONS:

    • BSc Information Technology (Essential/Minimum or)
    • BSc Computer Science (Essential/Minimum or)
    • BEng Engineering (Relevant) (Essential/Minimum or)
    • BSc Engineering (Essential/Minimum)

    EXPERIENCE: 

    • 3-5 years  (Essential/Minimum) Solid knowledge of core concepts/ fundamentals in one or more related fields of the following fields: AI, machine / deep learning algorithms and probabilistic methods.
    • Proven experience in designing, building, and deploying ML/AI models and analytics automation processes.
    • Proven experience in cloud-native development using platforms like AWS, Google Cloud, or Azure for developing and deploying machine learning models, with preference on Azure. Solid knowledge and experience in systems design and software architecture; machine learning frameworks and libraries such as TensorFlow, MLFlow, Keras, PyTorch and Scikit-learn.
    • Experience in cloud-native development, including DevOps, continuous delivery, microservices, and containers. Cloud certification will be advantageous.
    • Extensive experience in applying principles, theories, concepts, and techniques in programming languages with good experience in developing production-quality Python modules / frameworks being preferred.
    • Experience in infrastructure as code such as Terraform, Ansible, ARM or other relevant IaC frameworks;
    • Experience in version control practices using the likes of Git. Solid understanding of Agile development methodologies.
    • Proficient in web technologies, including web services (REST) and web servers, modern HTML/CSS, and familiarity with at least one of the following (or related) programming languages: PHP, ASP.NET, or JavaScript. Strong understanding of how web applications work, including security, session management, and best development practices.
    • Good knowledge of relational databases for data storage and retrieval.
    • Experience with deployment of large language model technologies will be advantageous.  

    REQUIREMENTS: 

    • Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
    • Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

    Duties & Responsibilities    
    Ideal Candidate Profile (Includes but not limited to):

    Ability to:

    • Apply best software engineering practices to design, develop and manage robust, scalable, and maintainable machine learning and AI code and systems. 
    • Development and maintenance of pipelines to support ML/AI workflows that scale development to production. 
    • Automate, test, and refactor data science model code into functional ML products consumable by the business. 
    • Collaborate with data scientists, data engineers/architects, and solution architects to integrate machine learning models into production systems following best practice deployment strategies suitable for various modelling use-cases. 
    • Provide technical guidance to data scientists and architects on various deployment (cloud and on-prem) strategies for machine learning and AI models. 
    • Continuously monitor the performance of deployed models to ensure accuracy and reliability. 
    • Identify improvement areas in existing machine learning systems and implement enhancements to optimize ML systems functionality. 
    • Conduct research to stay updated with the latest advancements in machine learning and artificial intelligence systems and prototype new approaches for machine learning systems. 
    • Contribute to the development of best practices and standards for ML/AI end-to-end development and deployment architecture.

    go to method of application »

    Senior Engineer, Projects SIMS

    Minimum Requirements    
    QUALIFICATIONS:

    • B Eng (Relevant) (Essential/Minimum or)
    • B Tech (Relevant) (Essential/Minimum)
    • Certificate Project Management (Essential/Minimum)
    • Management Development Programme (Recommended/Desirable)

    EXPERIENCE:

    • 6-8 year Relevant within a heavy industry/mining/production environment and project management. Experience as project manager from feasibility to ramp-up or part of large project. A minimum of 3 Years’ experience in discipline engineering and project management. (Essential/Minimum) Operational

    REQUIREMENTS:

    • Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
    • Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)
    • Engineering Council of SA (PrEng) (Essential/Minimum or)
    • Professional Engineering Technologist (Essential/Minimum)
    • Project Management Professional (Recommended/Desirable)

    Duties & Responsibilities

    Ideal Candidate Profile (Includes but not limited to):

    Ability to:

    • To direct and co-ordinate technical aspects through project life cycles to ensure optimum performance (according to Life of Mine, business requirements, organisational objectives) and sound engineering practice.
    • To manage medium to large discipline specific projects.

    Method of Application

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