Software Engineer- AI/ML Ops Engineer

As a Software Engineer II - AI/ML Engineer at Electronic Arts, you will be part of the EA Digital Platform (EADP) group, the core that powers the global EA ecosystem. Your work will involve designing, implementing, and optimizing infrastructure for AI model training and deployment platforms. You will play a crucial role in integrating AI capabilities into existing software systems and applications. Additionally, you will be responsible for developing tools and systems to monitor platform performance in real-time, analyzing key metrics, and addressing any issues or opportunities for improvement proactively. Your participation in code reviews will help maintain code quality and ensure best practices are followed. Moreover, you will work under senior guidance to enhance platform features and operations, as well as improve 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 As a Software Engineer II - AI/ML Engineer at Electronic Arts, you will be part of the EA Digital Platform (EADP) group, the core that powers the global EA ecosystem. Your work will involve designing, implementing, and optimizing infrastructure for AI model training and deployment platforms. You will play a crucial role in integrating AI capabilities into existing software systems and applications. Additionally, you will be responsible for developing tools and systems to monitor platform performance in real-time, analyzing key metrics, and addressing any issues or opportunities for improvement proactively. Your participation in code reviews will help maintain code quality and ensure best practices are followed. Moreover, you will work under senior guidance to enhance platform features and operations, as well as improve 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