> Markdown version of [/jobs/ext/1188513-5g-ai-ml-application-modernization-engineer](https://www.wearedevelopers.com/jobs/ext/1188513-5g-ai-ml-application-modernization-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 5G AI/ML & Application Modernization Engineer - **Company:** MatchPoint Solutions - **Location:** Maryland Heights, MO, United States - **Experience:** Expert - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Application Frameworks, Application Performance Management, Network Analysis, Cloud Computing, Cloud Engineering, Computer Networks, Continuous Integration, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Java Application Server, Computer Network Operations, Pytorch, HybridCloud, Kubernetes, Information Technology, Data Analytics, Open Network Automation Platform, Microservices - **Published:** July 5, 2026 - **Apply:** https://www.careerjet.com/jobad/usd3bd4bd0a02479cd2908d3bc030c633b ## About the Role * 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 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 ## Description 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 ## Related Videos - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)