Implement machine learning algorithms for personalization in gaming and evaluate what works best for Tripledot’s games and data.
Design experiments and prototypes to test the viability and efficiency of new AI models.
Translate research findings into practical algorithm prototypes in the codebase.
Convert prototypes into production-ready code that can be managed and deployed through the ML lifecycle.
Design, develop, and evaluate A/B tests to measure personalization effectiveness and improve player experience.
Monitor and analyze player data to identify new personalization opportunities and improve existing algorithms.
Document work clearly to support knowledge sharing within the team.

Requirements

Bachelor’s degree or higher in a quantitative field such as computer science, mathematics, or statistics, or equivalent experience.
Strong understanding of industry-standard machine learning techniques, from classification to reinforcement learning and generative methods.
Experience applying machine learning algorithms to real-world problems.
Experience with CI/CD, version control, containers, and production deployment of ML models using MLOps concepts.
Proficiency in SQL, Python, matplotlib, and related analytical programming and visualization tools.
Familiarity with tools and platforms such as git, MLFlow, Kubernetes, Kubeflow, Trino, and AirFlow.
Strong understanding of statistical concepts including hypothesis testing, sampling, and probability distributions.
Excellent communication and collaboration skills to work across technical and non-technical teams.
Experience using generative AI copilots or agents in daily development work.
Passion for mobile gaming and a desire to create engaging player experiences and drive business results.
Experience with reinforcement learning is a plus.
Experience with A/B testing methodologies in an online gaming context is a plus.
Experience working in the games industry is a plus.

Benefits

Statutory time off policy in addition to bank holidays.
Private healthcare or a healthcare stipend, subject to country requirements and eligibility.
Continuous professional development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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