AI/ML Engineer - RAN Software Optimization

Role Overview: You are a highly motivated AI/ML Engineer specializing in RAN software optimization, joining the dynamic and international AI/ML team at Rakuten Symphony. Your primary responsibility is to develop, deploy, and maintain advanced machine learning models that enhance the efficiency, capacity, and reliability of next-generation mobile networks. Your role involves collaborating with RAN engineers, software developers, and product managers to integrate AI/ML logic directly into RAN products, contributing to the continuous improvement of Rakuten Symphony's Open RAN solutions. Key Responsibilities: - Collaborate with RAN engineering and software development teams to identify AI/ML use cases for RAN software optimization. - Design and implement robust data pipelines for processing large volumes of RAN-specific data for ML model training. - Develop, train, and evaluate machine learning models for specific RAN optimization challenges such as resource allocation and anomaly detection. - Integrate ML models and algorithms into RAN software components and workflows. - Monitor and maintain deployed ML models to ensure performance and accuracy in a dynamic network environment. - Work closely with RAN domain experts to understand network performance issues and optimize with AI/ML-driven solutions. - Build scalable data pipelines for ingesting, cleaning, and transforming various RAN data sources. - Perform exploratory data analysis to uncover insights within RAN datasets. - Select appropriate machine learning algorithms and frameworks for RAN optimization problems. - Develop, train, validate, and fine-tune ML models using PyTorch or TensorFlow. - Implement model inference pipelines and integrate trained models into RAN software components. - Collaborate with MLOps engineers for model deployment, monitoring, and lifecycle management. - Write clean, efficient code in Python and C++ for data processing, model development, and integration. - Analyze model performance metrics and network KPIs to assess AI/ML optimizations impact. - Participate in code reviews, architectural discussions, and knowledge sharing within the team. Qualification Required: - Minimum 3 years of professional experience as an AI/ML Engineer, Data Scientist, or Machine Learning Engineer. - Familiarity with mobile networks concepts (4G/5G, RAN architecture) and key RAN performance metrics. - Bachelor's degree or higher in Computer Science, Machine Learning, AI, or related field. - Proficiency in Python for data manipulation and machine learning development. - Strong programming skills in C++ for integration with RAN software. - Experience with PyTorch or TensorFlow deep learning frameworks. - Knowledge of data processing tools like Apache Spark, Kafka, and SQL for data querying. - Familiarity with version control systems (e.g., Git) and MLOps principles. - Strong problem-solving skills, analytical mindset, and ability to write clean, efficient code. (Additional details of the company not available in the provided job description),