Job highlights

- Put learned functions into the RAN neural receivers,ML scheduling,xApps on the RIC inside the real-time loop. . Job Details. Job Type: Full time.
- Experience: 5-12 years.

Put learned functions into the RAN neural receivers, ML scheduling, xApps on the RIC inside the real-time loop.

Job Details

Job Type: Full time Experience: 5-12 years

Location: Bengaluru

What the role involves

- Design and train models for the PHY and MAC: neural receiver, beam management, scheduling.
- Fit them into the slots latency budget and deploy as xApps or rApps on the RIC over E2 and A1.
- Prove the gain on real data without breaking determinism.

Key Skills

- AI-RAN
- Machine learning
- Neural receiver
- RIC
- xApps
- PyTorch
- Beam management
- Scheduling

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI - RAN Engineer (Bengaluru)
🏢 FASTSTREAM TECHNOLOGIES
📍 Bengaluru