Job description
Purpose Build and operate a shared AI platform enabling multiple telecom squads to develop and deploy AI use cases efficiently.
Key Responsibilities
- Develop AI platform services: model serving, vector DBs, feature stores, prompt orchestration
- Enable self-service capabilities for product squads (APIs, SDKs, pipelines)
- Integrate with data platforms (Kafka, streaming, data lakes)
- Manage GPU workloads, inference endpoints, scaling policies
- Ensure platform supports low-latency use cases (e.g., real-time fraud detection) Requirements
- Strong backend/platform engineering (Python, Go, Java)
- Experience with ML platforms (Sage. Maker, Vertex AI, Databricks)
- Vector DBs (Pine-cone, Weaviate, FAISS), API gateways
- Kubernetes, container orchestration Benefits
- Platform uptime
- Developer adoption rate
- Cost per inference / request