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Artificial Intelligence Engineer
hace 2 meses
Position Overview
Scopely is in search of a Machine Learning Engineer to enhance our LiveOps Automation team. This role can be performed remotely or in a hybrid setup. At Scopely, we are passionate about our mission and strive to inspire enjoyment in our daily activities, whether through collaboration with our skilled colleagues or by engaging with our vibrant player communities. Our global team, comprised of gaming enthusiasts, is dedicated to developing, publishing, and innovating within the mobile gaming sector, reaching millions of players worldwide every day.Key Responsibilities
Drive the implementation of machine learning capabilities for LiveOps teams across various gaming platforms. Engage in daily tasks that include the design, development, and research of machine learning systems, models, and methodologies, while collaborating with stakeholders to refine workflows and requirements. Play a pivotal role in creating a comprehensive suite of LiveOps tools powered by machine learning automation and decision-making, fundamentally transforming how MidCore manages its games. Convert data science prototypes into production-ready machine learning models, ensuring their sustained performance over time. Develop and sustain cloud-native infrastructure for high-scale machine learning model deployment. Collaborate with fellow developers to create tools that empower our Live Operators and Game Design teams, enhancing gameplay experiences and supporting the LiveOps Automation tool suite. Contribute to the technical roadmap and engage in discussions regarding workflows and requirements with stakeholders.Ideal Candidate Profile
Profound knowledge of machine learning technologies and best practices. Extensive experience in delivering high-quality, performant machine learning platforms. Familiarity with machine learning frameworks such as PyTorch, MXNet, TensorFlow, and model serving frameworks like Seldon Core, TorchServe, TensorFlow Serving. Strong programming skills with proficiency in at least one mainstream language (Python, Java, C++) and experience with a major public cloud provider (AWS, Azure, GCP). Proven track record in writing and maintaining automated unit, integration, and end-to-end tests.Additional Qualifications
Experience in building, managing, and maintaining MLOps platforms. Knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse. Experience in developing recommendation systems. Experience mentoring junior team members.