SENIOR AI/ML ENGINEER - Build Production AI Products Used by Millions of Gaming Players Worldwide – DURBAN – R1.5m – R1.6m

This is an excellent opportunity for a SENIOR AI/ML ENGINEER to join a leader in the iGaming Industry – and to build AI products that actually reach production.

Based in DURBAN, this SENIOR AI/ML ENGINEER role offers a salary of R1.5m – R1.6m

THE COMPANY:

This global technology business sits at the forefront of ONLINE GAMING innovation, delivering world-class digital products used by millions of players every day. Combining large-scale cloud platforms, advanced data science and modern AI engineering, they're investing heavily in intelligent systems that personalise player experiences, power recommendation engines and drive the next generation of gaming technology.

If you're looking for an environment where AI is already creating real business value - and where you'll build production systems rather than prototypes - you'll struggle to find a more exciting opportunity in South Africa.

THE ROLE:

You'll join an established AI team within this gaming technology businesses, designing and deploying intelligent products that directly influence how millions of players discover, engage with and enjoy games.

This is a rare opportunity to become the team's first dedicated AI/ML Engineer - working alongside Data Scientists while owning the engineering, deployment and lifecycle of production AI systems.

If you're excited by taking AI from idea to production, you'll love this role.

From day one you'll work on AI products already delivering value, while helping shape the next generation of intelligent gaming experiences.

Your initial projects will include:

• AI-powered game recommendation platforms
• Large Language Model (LLM) applications
• Intelligent player assistants and AI agents
• Hybrid recommendation engines
• Machine learning models deployed into production
• Time-series forecasting solutions
• Personalisation and player retention platforms

This isn't a research role. It's about building AI products that people actually use.

You'll own the entire lifecycle. Identify the opportunity. Design the solution. Build it. Deploy it. Monitor it. Improve it.

You'll work closely with product, engineering and business stakeholders to solve real commercial problems using modern AI engineering practices.

Within your first year you'll have helped deliver production AI products that:

Improve player retention

• Power intelligent game recommendations
• Deliver personalised player experiences
• Expand the organisation's AI capability
• Launch new AI-powered products into production

You'll have genuine ownership and the opportunity to influence the future direction of AI across the business.

Tech you'll work with:

You'll work in an established AWS-based AI environment using technologies such as:

• Python, AWS, Snowflake, SageMaker, Airflow, Kubeflow, MLflow, LangChain, LangGraph, Large Language Models (LLMs), AI Agents, Recommendation Systems, Classical Machine Learning, Vector Databases, Docker

As the AI capability evolves, you'll also have the opportunity to influence future architecture and technology choices.

REQUIRED SKILLS:

REQUIRED SKILLS:

You are first and foremost an exceptional SOFTWARE ENGINEER who LOVES BUILDING AI PRODUCTS.

You have experience deploying machine learning or Generative AI systems into production - not simply training models in notebooks.

You'll ideally bring experience with several of the following:

• Production AI engineering
• Machine Learning engineering
• LLM applications
• AI agents
• Recommendation engines
• Retrieval-Augmented Generation (RAG)
• LangChain or LangGraph
• AWS AI services
• SageMaker
• Airflow, Kubeflow or MLflow
• Vector databases
• Docker
• Python

You'll also enjoy working directly with business stakeholders to understand problems, identify opportunities and translate ideas into production-ready AI solutions.