5G AIML Engineer & Application Modernization Onsite
Job Location:
Somerset County, NJ - USA
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
- modernization and re-architecture of legacy telecom applications into scalable cloud-native Java-based 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 solutions
- Develop high-performance Java applications supporting 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
- Masters Computer Science Electrical Engineering Telecommunications or related discipline
- SMI ORAN 3GPP Cloud CI/CD Python Java
- Experience in 5G architectures (RAN Core Edge Open RAN exposure a plus)
- Development background in Java and modern application frameworks
- Hands-on experience with AI/ML technologies (TensorFlow PyTorch or equivalent)
- Proven experience in application transformation and performance optimization
- Experience working with SMI ORAN 3GPP Cloud CI/CD Python Java
- Background in telecom service provider environments
- Experience with network automation orchestration and observability platforms
- Familiarity with Kubernetes microservices and hybrid cloud architectures
- Exposure to AIOps network analytics and predictive maintenance models
- Measurable reductions in network latency and operational costs
- Improved application performance resiliency and scalability
- Increased automation across network operations and service delivery
- Delivery of AI-driven insights that improve network efficiency and customer experience
Required Skills:
modernization and re-architecture of legacy telecom applications into scalable cloud-native Java-based 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 solutions Develop high-performance Java applications supporting 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 Required Qualifications Please focus on 2025/2026 PhD Graduates Masters Computer Science Electrical Engineering Telecommunications or related discipline SMI ORAN 3GPP Cloud CI/CD Python Java Experience in 5G architectures (RAN Core Edge Open RAN exposure a plus) Development background in Java and modern application frameworks Hands-on experience with AI/ML technologies (TensorFlow PyTorch or equivalent) Proven experience in application transformation and performance optimization Experience working with SMI ORAN 3GPP Cloud CI/CD Python Java Background in telecom service provider environments Preferred Qualifications Experience with network automation orchestration and observability platforms Familiarity with Kubernetes microservices and hybrid cloud architectures Exposure to AIOps network analytics and predictive maintenance models Success Metrics Measurable reductions in network latency and operational costs Improved application performance resiliency and scalability Increased automation across network operations and service delivery Delivery of AI-driven insights that improve network efficiency and customer experience
Required Education:
bachelors
