AI infrastructure and digital transformation for telecom operators
China Telecom Beijing operates an AI and digital transformation practice built on PyTorch, TensorFlow, and traditional database infrastructure (MySQL, PostgreSQL, Oracle, SQL Server, Hadoop, Spark). The project mix—large model deployment, multimodal models, generative toolsets, and 信创 (domestic tech) initiatives—reveals a focus on helping telecom clients adopt AI and sovereign-stack solutions. Pain points cluster around model deployment complexity and database performance, paired with a senior-heavy engineering org (6 of 9 roles), suggesting deep technical problem-solving rather than volume hiring.
China Telecom Beijing is the Beijing branch of China Telecom, one of China's major telecommunications operators. The division runs a dedicated practice for digital transformation consulting and AI solution architecture, serving telecom clients navigating large language model adoption, multimodal AI, and compliance-driven technology transitions (信创 projects). The team combines pre-sales consulting, solution design, and engineering implementation across a mix of cloud infrastructure, generative AI toolsets, and database optimization. Operations span Python, C++, and Go engineering alongside established SQL and big-data platforms.
PyTorch, TensorFlow, and Python for model development; also RAG and RLHF. Infrastructure includes MySQL, PostgreSQL, Oracle, SQL Server, Hadoop, and Apache Spark for data pipeline and deployment.
Large model and multimodal model deployment, generative model toolset construction, digital transformation consulting for telecom clients, and 信创 (domestic technology stack) solution design and implementation.