Machine Learning Engineer

collaborating closely with Data Engineers and Data Scientists. Design, build, and maintain scalable and production-ready ML pipelines to support AI-driven localization workflows. Deploy and monitor ML models in different environments, ensuring performance, scalability, and reliability. Leverage MLOps best practices for versioning, testing, CI/CD, and monitoring of models (e.g., Design, develop, and maintain API REST services using languages such as Python, .NET, and/or Node.js. Partner with Data Engineers and Data Scientists to ensure efficient data access and optimized feature engineering processes. Contribute to continuous model and system improvement through experiment tracking, feedback loops, and performance analysis. Conduct code reviews and ensure high-quality coding standards. Ensure adherence to ethical AI and data governance standards. 2+ years of hands-on experience in Machine Learning Engineering. ~, Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or

related discipline, ~ Strong Python programming skills, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face). ~ Familiarity with data processing frameworks (Pandas, NumPy) and orchestration tools (Airflow, Prefect). ~ Knowledge of NLP and Computer vision techniques and tools for multilingual data is a strong plus. ~ Experience with cloud services (AWS, Azure, or GCP) for ML/DL development and deployment. ~ Knowledge of software engineering best practices and tools (Gitlab and Github), such as Continuous Integration and Version Control (Git). ~ g, Terraform) ensuring robust, maintainable, and secure foundations for scalable deployment. ~ Excellent communication and collaboration skills, with the ability to translate data insights into business impact. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. Our packages are tailored to meet local needs and may

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