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Senior ML Ops Engineer
Indeed
Full-time
Onsite
No experience limit
No degree limit
Carrer d'Aribau, 66, Eixample, 08011 Barcelona, Spain
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Summary: This role involves building and maintaining high-performance infrastructure to deploy AI models in real-time, working within Tripledot's AI group to enhance game KPIs and company efficiency. Highlights: 1. Work within a leading independent mobile games company's AI group. 2. Bridge AI models with live game engines, impacting millions of players. 3. Contribute to key game KPIs like retention, revenue, and player experience. ### **Description** **Tripledot** is one of the largest independent mobile games companies in the world. We are a multi\-award\-winning organisation, with a global 2,500\+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of – one filled with driven, incredibly smart and detail\-orientated people, who **LOVE** making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. **The role is working within our AI group** The AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams. ### **Role Overview** You will be the bridge between the models that are created by our teams, and our live game engines. You will build and maintain the high\-performance infrastructure required to deploy AI models that impact millions of players in real\-time. Within the group AI functions 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 group AI function’s goal is to make Tripledot an AI/ML\-enabled company. You’ll be reporting to the Director of AI Engineering. 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. The first initiative you’ll be taking part of is the creation of a ML Platform to support ML engineers and data scientists to easily deploy their solutions, and enabling delivery of key projects like LTV and Ads Optimization. **Key Responsibilities** * Design, build, and maintain a scalable and reliable ML platform to support AI/ML initiatives within group AI, ensuring models move seamlessly from research to production. * Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into simple and robust infrastructure solutions. * Manage distributed clusters and auto\-scaling inference endpoints to handle large data volumes in the entire model lifecycle. * Implement comprehensive monitoring systems to detect model drift and latency issues. * Enable real\-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization. * Advocate for engineering best practices, including CI/CD, version control, testing, observability, and how to better use generative AI tools on a daily basis. ### **Required Skills, Knowledge and Expertise** * 4\+ years of experience as a MLOps Engineer or similar role, ideally within gaming, mobile apps, or digital products. * A collaborative mindset with strong communication skills and a product\-focused approach. * Hands\-on experience with implementation and management of ML platforms (e.g., Kubeflow, Vertex Pipelines, or Sagemaker). * Experience with model registries, such as MLflow, and how to track results from A/B experiments and MAB frameworks. * Experience optimizing models for low\-latency real time serving, and for batch predictions on large datasets. ### **Working at Tripledot** * 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year * Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. * 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. * Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. * Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. * Life \& Critical Illness Cover: Protect your future with our life and critical illness cover. * Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program \[subject to policy] * Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program. * Sport Compensation: Stay fit and active with our sport compensation benefit. * Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers. * English \& Spanish Classes: Enhance your English and Spanish skills with our provided language classes. * Continuous Professional Development: Propel your career with continuous opportunities for professional development. ### **About Tripledot** **We are Tripledot Studios**, our mission is to bring the knowledge and experience of a chart\-topping mobile games company into a close\-knit, collaborative environment. Our teams drive projects together from conception to launch in an indie\-style process combining data and creativity to make games that can be enjoyed by everyone.

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David Muñoz
Indeed · HR

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Indeed
David Muñoz
Indeed · HR
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