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: Solid 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 moni
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