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3 hours ago
AI Architect - Telecom & Networking
- 15+ years of total experience with at least 10 years in Telecom (4G/5G & IMS) and/or Datacom (Routing, Switching / SD-WAN / Provider Edge).
- 8+ years of hands-on experience with ML Algorithms; Graph Neural Networks, Time-series Forecasting Algorithms (ARIMA, LSTM…)
- Solid programming skills in Python and proficiency with ML/DL libraries (PyTorch, TensorFlow, Scikit-learn).
- Strong experience with LLM frameworks (LangChain, Hugging Face, Crew AI, OpenAI APIs, etc.).
- Experience in Agentic AI, autonomous multi-agent systems and RAG pipelines.
- Proven experience building multiple AI/ML solutions for Telecom and Networking use cases.
- Need to bring proven communication skills and mentor cross-functional teams on the architecture, use cases and drive architectural direction of the products.
- Proven track record in Design and deployment of data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub) for batch and real-time streaming. Experience in dealing with carrier class data sets of terabyte-scale.
- Proven experience deploying ML systems on AWS and Databricks.
- Track record in building scalable AI infrastructure using Kubernetes, Docker, Terraform, EKS, automating deployments.
- deployments and ensuring high availability with autoscaling and observability
- Experience with vector databases (FAISS, Pinecone, Weaviate, etc.).
- Exposure to MLOps frameworks (MLflow, Kubeflow, Airflow).
- Strong communication skills with ability to translate technical results into business insights.
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