RD21957 AI/ML Software Engineer(Enterprise Networking)

We are looking for an AI/ML Engineer to design and implement intelligent analytics and automation features for our enterprise networking products. Your primary mission will be to build AI-driven Root Cause Analysis (RCA) systems that can automatically identify, explain, and predict network issues across routers, gateways, and wireless access points - enabling self-healing and AIOps capabilities for enterprise networks.

What You’ll Do:
1. Design and develop AI/ML or LLM-based modules focused on Root Cause Analysis (RCA) for network anomalies, performance degradation, and service disruptions
2. Build and optimize data pipelines to collect and process network telemetry and time-series data for ML training and inference
3. Apply machine learning algorithms to detect anomalies, classify events, and infer causal relationships within large-scale network datasets
4. Collaborate with backend, data, and networking teams to integrate RCA intelligence into production systems
5. Evaluate and improve models for accuracy, scalability, interpretability, and real-time performance
6. Stay updated on the latest advancements in ML, LLMs, Explainable AI (XAI), and AIOps, applying them to enhance enterprise network reliability and observability