Telecom and Networking AI Architect

1 day ago

Jodhpur, India beBeeArtificial Full time

We are seeking a seasoned AI Visionary to drive the strategic direction of our AI/ML solutions.The ideal candidate will have a proven track record in designing and deploying scalable AI infrastructure using Kubernetes, Docker, Terraform, and EKS. Strong experience with vector databases (FAISS, Pinecone, Weaviate) and MLOps frameworks (MLflow, Kubeflow, Airflow) is also required.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.).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 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.Responsibilities:Design and deploy scalable AI infrastructure using Kubernetes, Docker, Terraform, and EKS.Develop and implement AI/ML solutions for Telecom and Networking use cases.Mentor cross-functional teams on the architecture, use cases, and drive architectural direction of the products.Deploy ML systems on AWS and Databricks.Build and maintain data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub) for batch and real-time streaming.Ensure high availability with autoscaling and observability.Requirements: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.).Proven experience building multiple AI/ML solutions for Telecom and Networking use cases.Strong communication skills with ability to translate technical results into business insights.

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