Available jobs
The Game Developer will be responsible for designing, developing, and maintaining high-quality games and interactive experiences using Unity and C#. This role requires a mix of technical expertise, creativity, and problem-solving to bring engaging digital experiences to life. The Game Developer will collaborate with the design, programming, and support teams to ensure smooth integration between gameplay systems, visual elements, and user interactions across multiple platforms.
The Data Scientist will be responsible for transforming data into actionable insights that support Remal Ventures’ digital initiatives and business objectives. This role combines analytical expertise, creativity, and business acumen to design data solutions that improve decision-making and user engagement. The Data Scientist will collaborate closely with programming, design, marketing, and support teams to analyze trends, develop predictive models, and provide strategic recommendations that enhance product performance and operational efficiency.
The Senior QA Engineer will be responsible for ensuring the quality, stability, and playability of our digital games across multiple platforms. This role requires strong technical expertise in Unity, C#, and automated testing frameworks, as well as hands-on experience managing store release processes for platforms such as App Store, Google Play. The Senior QA Engineer will act as a quality champion, driving testing strategies, mentoring QA team members, and collaborating with developers, designers, and artists to deliver exceptional player experiences.
We’re looking for a highly skilled Applied AI/Machine Learning Engineer who can bridge the worlds of data science, data engineering, and AI deployment. You’ll be responsible for building end-to-end machine learning solutions — from collecting and preparing data, to training, evaluating, and deploying models that enhance the Kammelna Games player experience (e.g., churn prediction, personalization, user engagement optimization). This role is ideal for someone who thrives at the intersection of hands-on data work, machine learning model development, and scalable AI systems.