Future Connections

• Design, develop and deploy advanced AI/ML models for telecom use cases such as: Network optimization, Traffic prediction and anomaly detection, QoS/QoE modeling and root cause analysis • Apply and adapt state-of-the-art AI techniques, including: Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning for network optimization, Time-series modeling at scale • Work deeply with real telecom network data (3G/4G/5G), understanding KPIs, counters, and traffic dynamics • Build production-ready solutions, ensuring scalability, performance, and reliability • Collaborate closely with data engineers and telecom experts to integrate AI models into real systems • Act as a technical reference within the team, contributing to best practices and code quality • Explore and apply Generative AI and LLM-based approaches to telecom use cases

• Design, develop and maintain backend services in Python • Build and optimize ETL pipelines for large-scale data processing • Work with structured and unstructured data, ensuring data quality and consistency • Develop data ingestion, transformation, and integration processes • Deploy and manage applications in cloud environments (AWS, Azure or GCP) • Containerize applications using Docker and contribute to scalable architectures • Analyze datasets to extract insights and support technical decision-making • Ensure code quality, performance, and maintainability