Job Summary
JOB DESCRIPTION
Keywords : AI/ML Architect for E2E telecom process areas
Tasks
- Lead business and technology solution architecture and design for Analytics, AI,ML in telecom
- Leverage telecom domain and market standard tools products knowledge to develop an optimal solution using COTS/Non-COTS Digital platforms
- Prepare Detailed Solution Proposals for RFx/non-RFx driven opportunities
- Prepare Solution Presentation for CxO level discussions
- Prepare PoCs across Analytics domains- will be owning the use cases, design & configurations
- Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases.
- Build and optimize data pipelines for training, validation, and inference processes.
- Develop web-based AI applications using frameworks like Flask, FastAPI, or Django.
- Implement LLM-based solutions such as chatbots, summarization, and RAG-based systems.
- Collaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.
- Participate in proof-of-concept (PoC) development for AI/ML and automation use cases.
- Conduct model evaluation, fine-tuning, and performance optimization.
- Work with APIs, data sources, and cloud-based ML services (AWS, Azure, GCP).
- Follow best practices in MLOps, model versioning, and CI/CD integration.
- Prepare technical documentation, training materials, and demo presentations.
Skills Requirements:
- Experience: 7+ years of experience in AI/ML development and 12+ years on Python-based solutions.
- Programming Languages: Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
- Generative AI Expertise: Hands-on experience with OpenAI, LangChain, Hugging Face Transformers, or Llama Index.
- Web Development: Working knowledge of Flask, FastAPI, or Django for backend application development.
- ML Lifecycle: Experience in model training, evaluation, deployment, and monitoring.
- Data Engineering: Exposure to data ingestion, preprocessing, and visualization (SQL, Pandas, Power BI, or Streamlit).
- Cloud & MLOps: Familiarity with AWS Sagemaker, Azure ML, or GCP AI Platform; Git, Docker, CI/CD.
- E2E BSS Business processes in Telecom companies (TMFORUM)- Consumer, Enterprise, Wholesale, IoT/M2M
- Must be a SME within Telecom BSS domain with 5+ years of Consulting experiences
- Proven implementation experience with at least 2 large Telecom Analytics, AI/ML rollouts in Telecom Wireless/Wireline industry as a an Architect
- In depth understanding of fixed, mobile and convergence domains and related markets
- In depth understanding of various OSS & BSS sources
- In depth understanding of Data Sources, Models across Network sources- Access, Core, Transmission layer for Wireless( LTE, 5G), Wireline, Wholesale, Interconnect