Machine Learning Engineer to join our LiveOps Automation team in Spain, UK, Ireland or Portugal on a hybrid or remote basis.At Scopely, we care deeply about what we do and want to inspire play every day.
We are a global team of game lovers developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.Scopely's Midcore Division operates the award-winning and industry-leading Star Trek Fleet Command, Marvel Strike Force, and WWE Champions games.What You Will DoYou will focus on unleashing ML capabilities for LiveOps teams that work on different gaming platforms.The day-to-day activities will involve designing, developing, and researching ML systems, models, and schemes, contributing to technical plans, and discussing the workflows and requirements with stakeholders.We are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) automation and decision-making.Transform data science prototypes into production-usable ML models while ensuring ML models remain performant over time.Build and maintain cloud-native infrastructure for hyper-scale ML model serving.Work with other developers to implement tools to empower our Live Operators and Game Design teams.Contribute to technical plans and discuss the workflows and requirements with stakeholders.What We're Looking ForA deep understanding of ML technologies development and best practices.Highly experienced delivering production quality, highly performant ML platforms.Experience with machine Learning Frameworks (PyTorch, MXNet, Tensorflow, etc.)
and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving, etc.
).Very strong coding ability, and experience in development in at least one mainstream programming language (Python, Java, C++ etc.)
and with at least one major public cloud provider (AWS / Azure / GCP).Experience writing and maintaining automated unit, integration, and end-to-end tests.Bonus PointsExperience building, managing, and maintaining MLOps platforms.Experience in at least one of the following: Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse.Experience building recommendation systems.You've mentored less experienced team members.About UsScopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences.Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business.Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America.For more information on Scopely, visit: scopely.com #J-18808-Ljbffr
