Software Engineer- AI/ML Ops Engineer

Role Overview: As a Software Engineer II - AI/ML Engineer at Electronic Arts, you will be an essential part of the EA Digital Platform (EADP) group, which serves as the core supporting the global EA ecosystem. Your primary responsibility will revolve around designing, implementing, and optimizing infrastructure for AI model training and deployment platforms. Your role will also include integrating AI capabilities into existing software systems and applications. Furthermore, you will be tasked with developing tools and systems for real-time monitoring of platform performance, analyzing key metrics, and proactively addressing any issues or opportunities for improvement. Your involvement in code reviews will be crucial to maintaining code quality and ensuring adherence to best practices. Additionally, you will collaborate under senior guidance to enhance platform features and operations, as well as bolster its stability and observability. Key Responsibilities: - Designing, implementing, and optimizing infrastructure for AI model training and deployment platform - Integrating AI capabilities into existing software systems and applications - Developing tools and systems for real-time monitoring of platform performance, analyzing key metrics, and addressing issues or opportunities for improvement - Participating in code reviews to maintain code quality and ensure best practices - Enhancing platform features and operations under senior guidance - Improving the stability and observability of the platform Qualifications: - Bachelor's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field - 3+ years of experience in software development and model development - Experience with programming languages such as Go, Java, or Scala - Proficiency in scripting languages like bash, awk, and Python - Familiarity with tools like Scikit-Learn, Pandas, Matplotlib - 3+ years of experience with Deep Learning frameworks like PyTorch, TensorFlow, CUDA - Hands-on experience with any ML Platform (Sagemaker, Azure ML, GCP Vertex AI) - Knowledge of cloud services and modern data technologies - Experience with data streaming and processing systems (Note: No additional details of the company were provided in the job description.),