The role requires leading the development of complex AI/ML solutions across multi-tower transformational opportunities with full lifecycle accountability
Job Summary
The role requires leading the development of complex AI/ML solutions across multi-tower transformational opportunities with full lifecycle accountability.
Candidates must possess strong statistical foundations to design robust, explainable ML systems including time-series forecasting and recommendation engines.
This position involves direct interaction with enterprise clients to translate complex business problems into scalable, resilient cloud-native system designs.
Matching Summary
The role requires leading the development of complex AI/ML solutions across multi-tower transformational opportunities with full lifecycle accountability.
Skills & Requirements
Must-have
AI & Data Solution Architecture
Time-series forecasting systems
MLOps practices and CI/CD for ML
Hybrid cloud architectures AWS Azure GCP
Telecom domain expertise 5G RAN OSS
Kubernetes Docker containerization
Python Node.js Java backend development
Nice-to-have
Generative AI and Agentic AI frameworks
Open RAN architecture knowledge
SON module configuration experience
Nvidia Omniverse infrastructure
Tanzu and Red Hat OpenShift deployment
Responsible AI controls implementation
Key Requirements
Minimum 5 years of experience required
15 years full time education
VMware Certified Cloud Expert or VCP VMC 2022
RHCE certification preferred
Microsoft Azure Solutions Architect Expert certification