The Machine Learning Engineer will develop data science applications, design AI services, maintain data pipelines, and perform predictive modeling.

As a Game Presenter, you will host live games while mastering game presentation rules and ensuring an engaging experience for players. Full-time availability and advanced English proficiency are required, but no prior experience is necessary as training is provided.

The Platforms Architect will analyze requirements, develop API designs, lead architectural solutions, and manage communication with stakeholders in the iGaming industry.

Supervise gaming operations, ensure compliance with rules, monitor technical issues, and support the Operations Manager. Requires strong communication and organizational skills.

As a QA Engineer, you will test and validate data accuracy, automate API tests, document bugs, and collaborate with developers to improve quality.

The Operations Team Leader will monitor service levels in real-time, coach the team, boost performance, and enhance customer experience. Responsibilities include ensuring teamwork, strategic problem-solving, and clear communication across multicultural teams, while adapting to fast-changing situations.

As a QA Engineer Intern, you will perform quality control, identify defects, plan testing activities, maintain test cases, and gain experience in automation tools.

As a Junior Mathematician, you'll create and validate mathematical models for slot games, analyze game behaviors, and collaborate with engineers and game producers.

As a QA Engineer, you will analyze requirements, design tests, conduct product testing for new features, and communicate with stakeholders, ensuring software quality.

The Game Integrity Manager will lead a team ensuring game security, investigating player behavior, refining processes, and collaborating on automated detection solutions.

Lead and manage the IT team to ensure smooth operations, coordinate tasks, conduct training, and maintain compliance with policies.

The Data Scientist role focuses on predictive modeling and machine learning initiatives, including incident detection, customer behavior prediction, and fraud detection. Responsibilities include building and deploying models, analyzing datasets, and collaborating with teams to integrate solutions.

The Data Analyst role involves executing business intelligence initiatives, conducting data quality checks, analyzing data for decision-making, and providing analytical insights to various teams.

The Project Manager will lead projects from initiation to completion, manage resources, coordinate communication, and ensure project objectives are met according to quality standards.

The role involves managing client relationships, developing CRM strategies, optimizing campaign performance, and presenting performance data to enhance customer engagement in the online casino sector.

The role involves developing production data science applications in Python, designing AI services, enhancing data pipelines, and collaborating with teams to adapt machine learning algorithms for business needs.

Ensure the CMS operates smoothly across regional websites, collaborate with marketing and design, support SEO goals, troubleshoot issues, and maintain site content.

As a Machine Learning Engineer, you will develop data science applications in Python, design AI services, maintain pipelines, and collaborate with teams to enhance systems and perform analyses.

The Product Approvals Engineer will manage QA testing projects, validate software functionality, document bugs, design test plans, and mentor team members to ensure high-quality deliverables.

As a Casino Customer Relations Manager, you will develop and manage customer relationships, optimize campaigns, and present performance insights to enhance client engagements.