bMachine Learning Engineer /b

workflows. /liliCollaborate with cross-functional teams to understand business needs and translate them into ML solutions. /liliTrain, evaluate, and fine-tune models for NLP, Computer Vision, and other ML use cases. /liliDeploy and monitor ML models in different environments, ensuring performance, scalability, and reliability. /liliDevelop preprocessing pipelines tailored to ML/DL tasks by working with large structured and unstructured datasets in multiple languages. /liliLeverage MLOps best practices for versioning, testing, CI/CD, and monitoring of models (e.g., MLflow, Sagemaker, or VertexAI). /liliDesign, develop, and maintain API REST services using languages such as Python, .NET, and/or Node.js. /liliPartner with Data Engineers and Data Scientists to ensure efficient data access and optimized feature engineering processes. /liliContribute to continuous model and system improvement through experiment tracking, feedback loops, and performance analysis. /liliConduct code reviews and

ensure high-quality coding standards. /liliOptimize applications for maximum speed and scalability. /liliCollaborate with cross-functional teams to define, design, and ship new features. /liliEnsure adherence to ethical AI and data governance standards. /li /ulh3bQualifications /b /h3ulli2+ years of hands-on experience in Machine Learning Engineering. /liliBachelor's degree in Computer Science, Engineering, Applied Mathematics, or related discipline. /liliStrong Python programming skills, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face). /liliProficiency in building and deploying ML models in real-world applications. /liliFamiliarity with data processing frameworks (Pandas, NumPy) and orchestration tools (Airflow, Prefect). /liliSolid understanding of model lifecycle management and MLOps tools (e.g., MLflow, VertexAI, SageMaker, AzureML). /liliExperience working with APIs, RESTful services, and microservice-based architecture. /liliKnowledge of NLP and Computer vision techniques and tools for multilingual data is a strong plus. /liliExperience with cloud services (AWS, Azure, or GCP) for ML/DL development and deployment. /liliExperience with WebAPI and RESTful services. /liliKnowledge of software engineering best practices and tools (Gitlab and Github), such as Continuous Integration and Version Control (Git). /liliOversee and contribute to the underlying infrastructure that powers ML systems (e.g, Terraform) ensuring robust, maintainable, and secure foundations for scalable deployment. /liliStrong debugging skills and fluent in reading code. /liliStrong problem-solving skills, and ability to communicate technical concepts clearly with stakeholders. /liliExcellent communication and collaboration skills, with the ability to translate data insights into business impact. /li /ulbAbout Electronic Arts /bpWe're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. /ppWe adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. /ppElectronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any ot

ppElectronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. /ppWe are hiring a bMachine Learning Engineer /b to join our Localization Data AI team, reporting to the Localization Data AI Manager. /ppThe Loc Data AI team's mission is to empower EA Localization through intelligent, data-driven solutions-building scalable AI systems, streamlining ML operations, and creating tools that enhance the quality and efficiency of localized content. /ppThis role focuses on designing, deploying, and maintaining ML models and infrastructure, collaborating closely with Data Engineers and Data Scientists. /ph3bResponsibilities /b /h3ulliDesign, build, and maintain scalable and production-ready ML pipelines to support AI-driven localization