Role Description The role is working within our AI group. The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ML Engineers, Data engineers, analysts, and product owners. Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group. Key Responsibilities - Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data. - Design experiments and prototypes to test the viability and efficiency of new AI models. - Translate research findings into real-world applications by creating algorithm prototypes in our codebase. - Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle. - Design, develop, and evaluate A/B tests to measure the effectiveness of personalization algorithms and optimise player experience. - Continuously monitor and analyse player data to identify new opportunities for personalization and improve existing algorithms. - Document your work clearly and concisely, fostering knowledge sharing within the team. Qualifications - A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience. - Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods). - Experience in applying machine learning algorithms to solve real-world problems. - Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts. - A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow). - A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions). - Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams. - Experience with using generative AI copilots or agents in daily development work. - A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results. Requirements - Bonus points if you also have: - Experience with more complex ML techniques (e.g. Reinforcement Learning). - Experience with A/B testing methodologies in an online gaming context. - Experience working in the games industry. Benefits - Time Off: Statutory Time Off policy for location in addition to bank holidays to relax and refresh throughout the year. - Health & Wellness: Based on country requirements. Private Healthcare or Healthcare stipend subject to eligibility. - Continuous Professional Development: Propel your career with continuous opportunities for professional development.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description What you get to do in this role: You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. - Build the best cloud-based AI/ML solutions to power intelligent enterprise services - Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software - Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users Qualifications To be successful in this role you have: - 3+ years of management experience, proficiency in providing feedback to work group strategies, policies, and plans - Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms - Experience building new products that use challenging algorithms - Expertise in coding efficient, object-oriented, modularized and quality software - Knowledge of core AI/ML techniques and algorithms - Knowledge of unit testing, profiling, and code tuning Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

• Develop and deploy Artificial Intelligence applications, including AI agents, meeting functional and non-functional requirements; • Develop clean, testable, and scalable code for Machine Learning applications; • Create scalable inference endpoints to serve models; • Implement MLOps practices throughout the model lifecycle; • Work with experiment tracking, model registry, and model versioning; • Contribute to CI/CD pipelines for data and models; • Implement automated testing and rollout/rollback strategies for Machine Learning models; • Collaborate with the team on the development and evolution of AI solutions.

• Incorporarse en un proyecto estable y de gran envergadura tecnológica • Creación de una plataforma de IA Generativa y Agentic AI autogestionada para ingenieros de IA