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AI Specialists

Job in Sandton, 2172, South Africa
Listing for: Boardroom Appointments
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

AI and Machine Learning Development:

  • Design, develop, and deploy AI/ML models and algorithms to solve complex business problems.

  • Conduct exploratory data analysis to identify trends, patterns, and insights relevant to decision-making.

  • Develop predictive and prescriptive models to support strategic planning and operational improvements.

  • Apply decision science frameworks to improve processes, optimize resources, and enhance decision-making.

  • Use advanced techniques like optimization, simulation, and scenario analysis to support business planning.

  • Translate business challenges into mathematical models and actionable insights.

  • Collaborate with data engineers to prepare, clean, and manage large datasets for AI/ML model training.

  • Ensure data integrity, accuracy, and compliance with organizational and regulatory standards.

  • Deploy AI/ML solutions into production environments and monitor performance.

  • Develop and deploy AI solutions for automation, optimization, and intelligent decision-making.

  • Architect and optimize AI pipelines, ensuring high performance and low latency.

  • Implement MLOps best practices for AI model deployment and monitoring.

  • Collaborate with software developers to embed AI into software development processes.

  • Maintain AI infrastructure and ensure continuous model improvement and retraining.

  • Research and integrate emerging AI technologies into enterprise software applications.

Competencies:

  • Proficiency in Python, Java, C++, or similar programming languages.

  • Hands-on experience with ML frameworks (Tensor Flow, PyTorch, Scikit-learn).

  • Expertise in cloud-based AI platforms and containerization (Docker, Kubernetes).

  • Strong understanding of MLOps, Dev Ops, and CI/CD pipelines for AI model integration.

  • Experience with AI governance, security, and ethical AI considerations.

Educational / Experience Requirements:

  • Engineering/IT degree or Diploma

  • 5+ years of experience in AI/ML model deployment and software engineering.

  • Proven track record of delivering AI-driven solutions.

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