Senior AI Engineer: Production ML & Data Solutions

Srg Recruitment (Pty) Ltd; Durban; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Srg Recruitment (Pty) Ltd, on behalf of a leading iGaming developer, seeks a Senior AI Engineer to join the Advanced Data Products team in Durban. You will turn messy business problems into production-grade ML/AI solutions with a focus on reliability, scalability, and model performance.

Responsibilities include designing and building AI/ML products, collaborating with Revenue, Studios, Finance, Marketing and Operations to uncover high-value use cases, deploying systems, maintaining

Qualifications

• B.Sc. degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related field
• Strong understanding of machine learning
• Solid software engineering skills with production-ready code
• Hands-on cloud experience (AWS preferred)
• Experience with observability (monitoring, alerting) and keeping models healthy in production
• Experience mentoring junior engineers

Responsibilities

• Design and build AI/ML products that drive real business outcomes from ideation to production
• Work with business teams to uncover high-value use cases
• Run discovery sessions to understand problems deeply and craft data science solutions
• 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 and review work
• Convert model results into clear, actionable recommendations for stakeholders
• Scale successful solutions across business functions and regions globally

Job description

Srg Recruitment (Pty) Ltd, on behalf of a leading iGaming developer, seeks a Senior AI Engineer to join the Advanced Data Products team in Durban. You will turn messy business problems into production-grade ML/AI solutions with a focus on reliability, scalability, and model performance.

Responsibilities include designing and building AI/ML products, collaborating with Revenue, Studios, Finance, Marketing and Operations to uncover high-value use cases, deploying systems, maintaining