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Open nowFirst seen 4 days ago

AI Specialists

Boardroom Appointments3,354 open roles

Where
Sandton, South Africa
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Your applicationOpen nowAI SpecialistsBoardroom Appointments · Sandton, South Africa
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

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 (TensorFlow, PyTorch, Scikit-learn).
  • Expertise in cloud-based AI platforms and containerization (Docker, Kubernetes).
  • Strong understanding of MLOps, DevOps, 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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