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TC

AI/ML Lead (Telecom Domain)

TechDigital Corporation
šŸ‡ŗšŸ‡ø United States
On-site
Staff / Principal
5 months ago
  • AI
  • Machine Learning
  • RAG
  • Devops
  • MLOps
  • AI/ML
  • Python
  • IoT
  • NumPy
  • Pandas
  • scikit-learn
  • PyTorch
  • TensorFlow
  • OpenAI
  • LangChain
  • Hugging Face
  • LlamaIndex
  • Flask
  • FastAPI
  • Django
  • SQL
  • Power BI
  • Streamlit
  • AWS SageMaker
  • Azure ML
  • GCP
  • Git
  • Docker
  • CI/CD
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Senior Lead – Agentic AI & Telecom Billing Transformation
Ā 
Skills Related skills Mandatory Skill Level #of Years used, project where used
AI / Machine Learning Ā  Yes Intermediate Ā 
Generative AI Ā  Yes Expert Ā 
RAG & Knowledge Systems Ā  Yes Expert Ā 
Agentic AI Ā  Yes Expert Ā 
GenAI Frameworks Ā  Yes Expert Ā 
Programming & APIs Ā  Yes Expert Ā 
Data Engineering Ā  Yes Intermediate Ā 
Vector Databases Ā  Yes Advanced Ā 
Cloud Platforms Ā  Yes Intermediate Ā 
Cloud AI Services Ā  Optional Intermediate Ā 
DevOps / MLOps / LLMOps Ā  Yes Advanced Ā 
Containerization & Deployment Ā  Yes Intermediate Ā 
Monitoring & Observability Ā  Optional Basic Ā 
Security & Compliance Ā  Yes Intermediate Ā 
Telecom Domain Ā  Optional Basic Ā 
Analytics & Visualization Ā  Yes Intermediate Ā 

Key Responsibilities

Agentic AI Strategy & Program Ownership
Architecture & Solution Design
AI Governance, Risk & Compliance
Leadership & Stakeholder Management

Required Experience & Skills

Experience

5+ 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 (NumPy, Pandas, Scikit‐learn, PyTorch, TensorFlow)
Generative AI & Agentic AI: OpenAI, LangChain, Hugging Face Transformers, LlamaIndex
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 SageMaker, 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

AI/ML Lead (Telecom Domain) Ā· TechDigital Corporation

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