Senior AI Engineer

Games Global Operations Limited; Durban North; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Games Global Operations Limited is seeking a Senior AI Engineer to join its Advanced Data Products team in Durban North, South Africa. In this role, you will design and build AI/ML products that drive real business outcomes, collaborating with various teams to uncover high-value use cases.

The ideal candidate will possess strong machine learning expertise, solid software engineering skills, and hands-on cloud experience (AWS preferred). A focus on mentoring and supporting junior engineers is essential, along with excellent communication abilities.

Qualifications

• Strong understanding of machine learning algorithms and their applications.
• Proven software engineering skills with clean, production-ready code.
• Hands-on experience with cloud environment, preferably AWS.
• Experience building and operating ML systems at scale.
• Ability to monitor and maintain model health in production.
• Skill in translating complex AI concepts into business language.
• Adept at breaking down ambiguous challenges into structured solutions.
• Strong communicator able to engage stakeholders effectively.
• Experience in mentoring and supporting junior engineers.

Responsibilities

• Design and build AI/ML products that drive real business outcomes.
• Collaborate with business teams to identify high-value use cases.
• Lead discovery sessions to ascertain deep problem understanding.
• Engineer, deploy, and maintain AI/ML systems in production.
• Develop observability tools to monitor AI/ML performance.
• Mentor junior engineers by sharing knowledge and reviewing work.
• Translate model results into actionable recommendations for stakeholders.
• Scale successful solutions across functions and regions globally.

Skills

Machine learning algorithms

Software engineering

Cloud experience (AWS preferred)

Observability in ML systems

Communication skills

Problem-solving

Mentoring junior engineers

Education

B.Sc. in Computer Science, Statistics, Applied Mathematics, Data Science or related field

B.Eng./B.Tech

Job description

Overview

We're looking for a Senior AI Engineer to join our Advanced Data Products team and help build the AI and data-driven products that power Games Global.

If you love turning messy business problems into production-grade ML/AI solutions — and care as much about reliability and scale as you do about model performance — this role was made for you.

Responsibilities

What you’ll be doing

• Design and build AI/ML products that drive real business outcomes across GGL — from ideation to production
• Work closely with business teams (Revenue, Studios, Finance, Marketing, Operations) to uncover high-value use cases
• Run discovery sessions to understand problems deeply, then craft the right data science solution
• Engineer, deploy, and maintain AI/ML systems in production — owning the full lifecycle
• Build and maintain observability tooling to monitor model performance, data quality, and system health
• Mentor junior engineers in the team — sharing knowledge, reviewing work, and helping them grow
• Convert model results into clear, actionable recommendations for stakeholders at all levels
• Scale successful solutions across business functions and regions globally

Qualifications

What we’re looking for

• Strong understanding of machine learning — you know your algorithms and when (and when not) to use them
• Solid software engineering skills — you write clean, production‑ready code
• Hands‑on cloud experience, AWS preferred
• Track record of building, deploying and operating ML systems at scale
• Experience with observability — monitoring, alerting, and keeping models healthy in production
• Ability to turn complex AI/ML concepts into clear business language
• Sharp problem‑solving instincts — you break big ambiguous challenges into structured, deliverable pieces
• Strong communicator who can bring sceptical stakeholders on board
• Experience mentoring, supporting and growing junior engineers
• B.Sc. in Computer Science, Statistics, Applied Mathematics, Data Science, or related field — B.Eng./B.Tech also considered (postgrad a bonus)