Senior Group Technical Architect

Job description

Noida, Uttar Pradesh 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 Key Responsibilities null **#body.unify div.unify-button-container .unify-apply-now:** focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-