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AI Engineer

Melrose Arch (Hybrid)

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?

There’s only one question left: are you ready to make healthcare smarter, and actually mean it?

The AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions that enhance business operations, customer experience, and decision-making capabilities. This role involves working with machine learning models, natural language processing, computer vision, and other AI technologies to solve complex problems and drive innovation.

WHAT WE'RE LOOKING FOR?

Essential: 

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or related field.
  • 3+ years of experience working with AI/ML systems, particularly in model integration and contextualisation.
  • Hands-on experience with prebuilt AI/ML models and APIs (e.g., OpenAI, Google Cloud AI, AWS SageMaker).
  • Experience in deploying and maintaining AI solutions in production environments.
  • Familiarity with cloud platforms and containerization tools.
  • Strong programming skills in Python and experience with RESTful APIs.
  • Understanding of data pipelines and model lifecycle management. 

Advantageous:

  • Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or related field.
  • Experience in healthcare, retail, or insurance data ecosystems 

WHAT YOU WILL BE DOING?

  • Identify suitable AI models by analysing business requirements and available technologies to accelerate solution delivery and reduce development overhead.
  • Maintain model lifecycle by applying version control and update strategies to ensure continuity and traceability of AI implementations.
  • Support AI adoption by providing training, demos, and technical assistance to increase usage and maximize business impact.
  • Comply with data regulations by aligning AI implementations with legal and organisational policies to reduce risk and maintain accountability.
  • Evaluate emerging technologies by conducting feasibility assessments to identify opportunities for innovation and improvement in AI capabilities

WHO YOU ARE?

  • Interpret the functionality, limitations, and intended use of prebuilt AI models to ensure appropriate application in business contexts.
  • Work closely with data scientists, software engineers, and product teams to integrate AI into broader systems and workflows.
  • Analyse business problems and determine how AI models can be adapted or configured to deliver meaningful insights or automation.
  • Adjust quickly to evolving business needs, technical environments, and model updates to maintain relevance and effectiveness.
  • Demonstrates the ability to navigate ambiguity with confidence and composure.

Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale.

Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.

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