Senior 5G Network Modernization & AI/ML Engineer
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Job summary
WWT in Bedminster, NJ is seeking a senior-level expert in 5G network engineering, AI/ML, and application modernization to transform legacy telecom applications into scalable, cloud-native Java platforms. The role focuses on automating processes, reducing latency, and delivering measurable improvements across the 5G ecosystem.
Candidates should hold a Masters in CS/EE/Telecom or related field, with 2025/2026 PhD preferred, and demonstrate hands-on Java development, AI/ML, and cloud/CI/CD
Qualifications
- Masters degree in Computer Science, Electrical Engineering, Telecommunications, or related discipline.
- Hands-on experience with AI/ML technologies (TensorFlow, PyTorch, or equivalent).
- Proven experience in Java development and modern application frameworks.
- Experience with 5G architecture including RAN, Core, and Edge.
Responsibilities
- Modernization and re-architecture of legacy telecom applications into scalable, cloud-native Java platforms.
- Apply AI/ML models to optimize 5G network performance, capacity planning, and fault management.
- Identify and drive efficiency gains across the 5G ecosystem (RAN, Core, Transport, Edge).
- Partner with network engineering and IT teams to implement intelligent automation and AIOps.
- Develop high-performance Java applications for real-time telecom workloads.
- Analyze large-scale network data to deliver actionable insights, cost optimization, and latency reduction.
- Support innovation initiatives, POCs, and pilots tied to 5G monetization and operational excellence.
Skills
Education
Job description
WWT in Bedminster, NJ is seeking a senior-level expert in 5G network engineering, AI/ML, and application modernization to transform legacy telecom applications into scalable, cloud-native Java platforms. The role focuses on automating processes, reducing latency, and delivering measurable improvements across the 5G ecosystem.
Candidates should hold a Masters in CS/EE/Telecom or related field, with 2025/2026 PhD preferred, and demonstrate hands-on Java development, AI/ML, and cloud/CI/CD
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