This lead-level role requires strong architectural solutioning ownership and proven experience delivering end-to-end production AI systems
Job Summary
This lead-level role requires strong architectural solutioning ownership and proven experience delivering end-to-end production AI systems.
The position involves technical leadership of engineering teams, direct interaction with enterprise clients, and ownership of solution design and execution.
Candidates must possess deep statistical foundations to design robust, explainable, and reliable ML systems for enterprise use cases.
Matching Summary
This lead-level role requires strong architectural solutioning ownership and proven experience delivering end-to-end production AI systems.
Skills & Requirements
Must-have
AI/ML-driven cognitive platforms
Time-series forecasting and NLP
Python FastAPI Flask Node.js Java
Terraform Ansible Infrastructure as Code
Docker Kubernetes containerization
AWS Azure GCP hybrid cloud architectures
Nice-to-have
Generative AI and Agentic AI frameworks
Telecom domain expertise with 5G RAN
OSS platform experience Ericsson Nokia Huawei
SON module configuration and optimization
Responsible AI guardrails implementation
High-Performance Computing GPU environments
Key Requirements
Minimum 4-5 years hands-on experience in AI/ML platforms
15 years full-time education required
Expertise in radio network planning and OSS platforms
Strong background in private cloud and HCI environments