AI Infrastructure Lead

ICT ~ Manufacturing
Johannesburg North, Johannesburg – Gauteng – South Africa

You will be responsible for designing, implementing, and maintaining scalable AI and data infrastructure to support the company’s AI-driven initiatives. This role requires deep machine learning, cloud computing, data analytics, and statistical modelling expertise to develop high-performance AI solutions that drive business innovation.
 
Key focus areas include AI/ML pipeline development, cloud-based computing, data management, security compliance, and business intelligence integration. The role will be instrumental in achieving key goals, including enabling AI-driven insights for decision-making, building a fully automated business operations framework, and developing an AI-driven system that integrates ERP, MES, and analytics.
 
You will also oversee IoT-based monitoring and automation, leverage AI for predictive analytics, and pilot AI-driven initiatives such as predictive maintenance, QC cameras, chatbots, and business intelligence insights.
 
Essential Requirements:
  • Extensive experience building AI/ML pipelines, managing cloud-based computing environments (AWS, GCP, Azure),
  • Extensive experience deploying machine learning models using TensorFlow, PyTorch, and Scikit-learn.
  • Strong proficiency in programming languages such as Python, R, Java, C++, and SQL is essential
  • Expertise in data warehousing, ETL pipelines, and business intelligence tools like Power BI and Tableau.
  •  Bachelor’s degree in Computer Science, Data Science, AI, or a related field is required
  • A proven track record in AI model deployment, data engineering, and cloud-based AI architecture.
  • Additional skills in DevOps, containerisation (Docker, Kubernetes), and security compliance are highly desirable.
 
The role demands strong analytical, problem-solving, and communication skills to collaborate effectively with cross-functional teams. This leadership role requires a forward-thinking approach to AI infrastructure and a commitment to optimising AI performance for business impact.