EXXARO LEARNERSHIP 2O25

Location – Province Gauteng
Location – Country South Africa
JOB DISCRIPTION
At the heart of Exxaro Resources, our success story is now not simply written in numbers however in the brilliant tapestry of our people. We are extra than a company. We are a triumphing team, a neighborhood of passionate persons who locate fulfilment in shared victories. Joining Exxaro isn’t always simply about a job; it is about turning into phase of a triumphing family, the place every member performs a crucial function in our collective success. If you are prepared to be a section of this exceptional journey, the place your contributions matter, your aspirations are nurtured, and collectively we create a legacy of excellence test out the following chance that is on hand at Exxaro

Are you geared up to structure the future of mining and innovation? Exxaro is searching for a excessive performing Machine Learning Operations Engineer (MLOps) with sturdy software program engineering and information science abilities to be a part of our latest innovation team. Your major focal point will be on operationalizing ML/AI options at Exxaro, helping each operational and company innovation initiatives. In this role, you will follow first-class software program engineering practices to design, develop, automate, test, and manipulate robust, scalable, and maintainable desktop mastering and AI code and systems.

You will collaborate with, furnish instruction and guide information scientists, facts engineers, and IM groups throughout the enterprise on MLOps, supporting to constantly boost fine practices requirements for ML/AI development, deployment workflows, and structure patterns for each cloud and on-premises solutions. Your efforts will make sure that manufacturing mannequin options are reliable, scalable, and supply tangible enterprise value. Please refer to the advert for extra in-depth important points on the core deliverables of the role.

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 expertise of core concepts/ fundamentals in one or greater associated fields of the following fields: AI, laptop / deep mastering algorithms and probabilistic methods. Proven ride in designing, building, and deploying ML/AI fashions and analytics automation processes. Proven ride in cloud-native improvement the use of structures like AWS, Google Cloud, or Azure for growing and deploying computing device studying models, with choice on Azure. Solid expertise and ride in structures plan and software program architecture; computing device gaining knowledge of frameworks and libraries such as TensorFlow, MLFlow, Keras, PyTorch and Scikit-learn. Experience in cloud-native development, along with DevOps, non-stop delivery, microservices, and containers. Cloud certification will be advantageous. Extensive journey in making use of principles, theories, concepts, and strategies in programming languages with suitable ride in growing production-quality Python modules / frameworks being preferred. Experience in infrastructure as code such as Terraform, Ansible, ARM or different applicable IaC frameworks; Experience in model manipulate practices the use of the likes of Git. Solid appreciation of Agile improvement methodologies. Proficient in net technologies, which includes net offerings (REST) and net servers, cutting-edge HTML/CSS, and familiarity with at least one of the following (or related) programming languages: PHP, ASP.NET, or JavaScript. Strong appreciation of how internet purposes work, consisting of security, session management, and nice improvement practices. Good know-how of relational databases for information storage and retrieval. Experience with deployment of giant language mannequin applied sciences will be advantageous.

REQUIREMENTS:

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

Duties & Responsibilities
Ideal Candidate Profile (Includes however now not constrained to):

Ability to:

  • Apply nice software program engineering practices to design, enhance and manipulate robust, scalable, and maintainable laptop gaining knowledge of and AI code and systems.
  • Development and upkeep of pipelines to guide ML/AI workflows that scale improvement to production.
  • Automate, test, and refactor statistics science mannequin code into practical ML merchandise consumable via the business.
  • Collaborate with statistics scientists, information engineers/architects, and answer architects to combine desktop gaining knowledge of fashions into manufacturing structures following pleasant exercise deployment techniques appropriate for a number of modelling use-cases.
  • Provide technical practise to records scientists and architects on more than a few deployment (cloud and on-prem) techniques for desktop mastering and AI models.
  • Continuously screen the overall performance of deployed fashions to make certain accuracy and reliability.
  • Identify enchancment areas in present laptop studying structures and put in force enhancements to optimize ML structures functionality.
  • Conduct lookup to continue to be up to date with the today’s developments in computing device getting to know and synthetic Genius structures and prototype new techniques for desktop studying systems.
  • Contribute to the improvement of fantastic practices and requirements for ML/AI end-to-end improvement and deployment architecture.

If you are a visionary Machine Learning Operations Engineer (MLOps) keen to revolutionize Exxaro’s innovation strategy, we prefer YOU on our team!

To view the full job details, please refer to the beneath attachment.

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