AI and data platform for telecommunications and satellite imagery analysis
Viettel AI operates a data and AI center within Vietnam's state-owned telecommunications conglomerate, building a platform stack anchored in distributed systems (Hadoop, Spark, Kafka) and graph databases (Neo4j, JanusGraph) alongside PyTorch for ML workloads. The project portfolio reveals domain focus: satellite-based earth observation (terrain detection, vessel classification), telecom infrastructure optimization, and data lake/warehouse architecture. Repeated pain points around real-time processing and scaling indicate the core challenge is moving from batch analytics toward sub-second streaming pipelines at scale.
Viettel AI is the data and AI research center of Viettel Group, Vietnam's military-backed telecommunications conglomerate. The organization develops AI products and large-scale data systems serving internal telecom operations and external enterprise customers. With 201–500 employees split across engineering-heavy teams (11 engineers), data specialists (6), and smaller sales and product functions, the company operates dual workloads: internal infrastructure modernization (data lakes, real-time network monitoring) and commercial AI solutions (satellite imagery analysis, customer analytics). Hiring accelerated recently, focused on mid-level engineers and data practitioners in Vietnam and the Philippines.
Core stack: Hadoop, Apache Spark, Kafka, PyTorch, MySQL, PostgreSQL, Oracle, Elasticsearch, Redis, Cassandra, Neo4j, JanusGraph. Languages: Python, C++, Java, Scala. DevOps: Docker, GitHub, Linux.
Satellite imagery analysis (terrain detection, vessel classification), real-time telecom network optimization, NoSQL database design, data lake and warehouse architecture, and big-data customer analytics modules.
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