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