OTC SAP SD Tech Lead — Drive Global Rollouts
Listed on 2026-10-23
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Senior Lead – Agentic AI & Telecom Billing Transformation
Skills
Related skills
Mandatory
Skill Level#of Years used, project where used
AI / Machine Learning Yes Intermediate Generative AIYes
ExpertRAG & Knowledge Systems Yes Expert Agentic AIYes Expert Gen AI Frameworks Yes Expert Programming & APIs Yes Expert Data Engineering Yes Intermediate Vector Databases Yes Advanced Cloud Platforms Yes Intermediate Cloud AI Services Optional Intermediate Dev Ops / MLOps / LLMOps Yes Advanced Containerization & Deployment Yes Intermediate Monitoring & Observability Optional Basic Security & Compliance Yes Intermediate Telecom Domain Optional Basic Analytics & Visualization Yes Intermediate Key Responsibilities
Agentic AI Strategy & Program Ownership
Architecture & Solution Design
AI Governance, Risk & Compliance
Leadership & Stakeholder Management
Required Experience & Skills
Experience5+ years of experience in AI/ML development , with strong Python‐based solution delivery
Deep domain experience in Telecom BSS & OSS , covering fixed, mobile, IoT, and converged services
Strong experience designing end‐to‐end BSS solutions across Sales, Marketing, Product, Finance, and Customer Care
Hands‐on experience with major telecom B/OSS COTS platforms (Amdocs, Netcracker, Comarch, Ericsson)
Solid understanding of TM Forum standards and processes
Experience with 5G architecture and core concepts , including network slicing and service enablement
Technical Skills
Programming: Python (Num Py, Pandas, Scikit‐learn, PyTorch, Tensor Flow)
Generative AI & Agentic AI: OpenAI, Lang Chain, Hugging Face Transformers, Llama Index
Web & API Development: Flask, FastAPI, or Django
ML Lifecycle: Model training, evaluation, deployment, monitoring, and drift management
Data Engineering: Data ingestion, preprocessing, visualization (SQL, Pandas, Power BI, Streamlit)
Cloud & MLOps: AWS Sage Maker, Azure ML, or GCP AI Platform;
Git, Docker, CI/CD pipelines
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, or related field
Certification or specialization in AI/ML, Deep Learning, or Generative AI
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