Senior AI Engineer: Global-Scale ML & Observability

Games Global; Durban; On-site; ZAR 1,200,000 - 1,600,000; Full time

Job summary

Games Global seeks a Senior AI Engineer to join the Advanced Data Products team, owning AI solutions from ideation to production and scaling globally. You will work with Revenue, Studios, Finance, Marketing, and Operations to identify opportunities and deliver impact.

You will design, deploy, and operate production-grade ML systems, build observability, translate outputs into business insights, and mentor junior engineers while driving AI best practices across the company.

Qualifications

• Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• 4+ years experience in Software Development.
• Experience deploying and operating ML systems in cloud environments (AWS preferred).

Responsibilities

• Design and build AI/ML products delivering measurable business impact across the organisation.
• Partner with Revenue, Studios, Finance, Marketing, and Operations to identify high-value opportunities.
• Lead discovery sessions to understand business challenges and define the right AI approach.
• Engineer, deploy, and operate production-grade ML systems at scale.
• Build and maintain observability frameworks to monitor model performance, data quality, and system reliability.
• Translate complex model outputs into clear, actionable insights for business stakeholders.
• Mentor and support junior engineers, fostering growth and engineering excellence.
• Scale successful AI solutions across regions and business functions globally.

Skills

Software development

Machine learning

Cloud environments (AWS)

Effective communication

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Job description

Games Global seeks a Senior AI Engineer to join the Advanced Data Products team, owning AI solutions from ideation to production and scaling globally. You will work with Revenue, Studios, Finance, Marketing, and Operations to identify opportunities and deliver impact.

You will design, deploy, and operate production-grade ML systems, build observability, translate outputs into business insights, and mentor junior engineers while driving AI best practices across the company.