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!

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

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.

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.

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

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
   

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