senior-level 5G network engineering AI/ML and application modernization. This role will focus on transforming legacy applications driving automation and unlocking efficiencies across the companys 5G network infrastructure to support next-generation services and scale.
Key Responsibilities
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
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 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
Job Title: Engineer 5G AI/ML & Application ModernizationLocation: Onsite daily in Bedminster NJDuration: 6 Months with opportunity to go longerPosition Overview:senior-level 5G network engineering AI/ML and application modernization. This role will focus on transforming legacy applications driving ...
senior-level 5G network engineering AI/ML and application modernization. This role will focus on transforming legacy applications driving automation and unlocking efficiencies across the companys 5G network infrastructure to support next-generation services and scale.
Key Responsibilities
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
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 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
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