S

5G AI/ML & Application Modernization

Job Description - 5G AI/ML & Application Modernization


5G AI/ML & Application Modernization

Position Overview:

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 company’s 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

  • 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

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!






Benefits

LOCKED REQUIREMENT LIST — READY FOR ACCOUNT MANAGER REVIEW

JOB INFORMATION



Job Title: Engineer – 5G AI/ML & Application Modernization


Client: WWT


Location: Bedminster, NJ


Remote, Hybrid, or Onsite: Onsite — Daily


Employment Type: Not stated


Account Manager: Not stated


Date Created: August 10, 2026


Locked Requirement List Version: 1.0

The position is explicitly described as an onsite role in Bedminster, NJ with an initial six-month duration and opportunity for extension.

ELIGIBILITY REQUIREMENTS







































ID
Eligibility Requirement
Required/Preferred
Source
E1
Must work onsite daily in Bedminster, NJ
Required
Job Description
E2
Initial 6-month assignment
Required
Job Description
E3
Master's degree in Computer Science, Electrical Engineering, Telecommunications, or related discipline
Required
Job Description
E4
2025/2026 PhD graduate profile
Preferred
Job Description


Eligibility clarification: The JD says, “Please focus on 2025/2026 PhD Graduates,” but does not state that a PhD is mandatory. Therefore, the PhD profile is classified as Preferred, while the Master's degree requirement is classified as Required.

Not stated in the Job Description: Visa/work authorization, relocation policy, travel requirement, employment classification, rate/compensation restriction, or required certifications.


MUST-HAVES — 80% OF TOTAL CANDIDATE SCORE












































ID
Locked Must-Have Requirement
Evidence from Job Description
M1
5G Architecture Experience — RAN, Core, and Edge
Requires experience with 5G architectures and identifies RAN, Core, and Edge; the role focuses on efficiencies across the 5G ecosystem.
M2
Java Application Development & Modern Frameworks
Requires a development background in Java and modern application frameworks; responsibilities include developing high-performance Java applications for real-time telecom workloads.
M3
Hands-On AI/ML Technology Experience
Requires hands-on AI/ML experience using TensorFlow, PyTorch, or equivalent technologies and applying AI/ML models to 5G network optimization.
M4
Application Transformation & Performance Optimization
Requires proven experience in application transformation and performance optimization; the role modernizes and re-architects legacy telecom applications.
M5
Telecom Standards / Interfaces — SMI, ORAN, and 3GPP
Required qualifications specifically identify SMI, ORAN, and 3GPP experience.
M6
Cloud, CI/CD, and Python Engineering Experience
Required qualifications specifically identify Cloud, CI/CD, and Python and repeat these technologies as required experience.


The JD expressly requires 5G architecture, Java development, hands-on AI/ML, application transformation/performance optimization, and experience with the listed telecom and engineering technologies.

Scoring note for M1: Evidence showing experience in a telecom service-provider environment should strengthen the candidate's evidence for M1 because the JD separately requires that background.


NICE-TO-HAVES — 20% OF TOTAL CANDIDATE SCORE












































ID
Locked Nice-to-Have Requirement
Evidence from Job Description
N1
Open RAN Exposure
The 5G architecture requirement specifically states that Open RAN exposure is a plus.
N2
Network Automation, Orchestration & Observability Platforms
Explicitly listed under Preferred Qualifications.
N3
Kubernetes & Microservices
Kubernetes and microservices familiarity is explicitly listed under Preferred Qualifications.
N4
Hybrid Cloud Architecture Familiarity
Hybrid cloud architecture familiarity is explicitly listed under Preferred Qualifications.
N5
AIOps / Network Analytics / Predictive Maintenance Exposure
Explicitly listed under Preferred Qualifications.
N6
Not clearly stated in the Job Description.
No additional distinct preferred qualification is clearly stated without duplicating a MUST-HAVE or inventing a requirement.


The preferred section specifically identifies network automation/orchestration/observability, Kubernetes, microservices, hybrid cloud, and AIOps/network analytics/predictive maintenance.


FINAL CHECK



  1. Exactly 6 MUST-HAVES: ✅ Confirmed

  2. Exactly 6 NICE-TO-HAVE positions: ✅ Confirmed

  3. No requirement appears in both categories: ✅ Confirmed

  4. Eligibility requirements are separate from scored qualifications: ✅ Confirmed

  5. Every scored requirement is supported by the Job Description: ✅ Confirmed

  6. No qualifications were invented: ✅ Confirmed

One item for Account Manager review

The biggest point worth confirming with the client is the 2025/2026 PhD graduate language. The JD simultaneously says to “focus on” recent PhD graduates while listing a Master's degree under Required Qualifications. I have therefore locked Master's = Required and 2025/2026 PhD = Preferred rather than treating the PhD as a disqualifying eligibility gate.

LOCKED REQUIREMENT LIST — READY FOR ACCOUNT MANAGER REVIEW







Original job 5G AI/ML & Application Modernization posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
Share Job
Share Job

Similar 5G AI/ML & Application Modernization Jobs in the US

GrabJobs is the no1 job portal in the US, connecting you to thousands of jobs fast! Find the best jobs in the US, apply in 1 click and get a job today!

Mobile Apps

Copyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.