Telecom AI Architect

5 days ago

Jamnagar, India beBeeArchitecture Full time

Artificial Intelligence VisionaryWe are seeking a highly experienced AI Architect to lead the design and implementation of cutting-edge AI solutions for Telecom and Networking use cases.The ideal candidate will have a strong background in ML Algorithms, Graph Neural Networks, Time-series Forecasting Algorithms, and experience with LLM frameworks.They should also possess expertise in data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub) for batch and real-time streaming, as well as deploying ML systems on AWS and Databricks.Familiarity with vector databases (FAISS, Pinecone, Weaviate, etc.) and MLOps frameworks (MLflow, Kubeflow, Airflow) is highly desirable.The successful candidate will be responsible for driving architectural direction, mentoring cross-functional teams, and communicating technical results to business stakeholders.Key Responsibilities:Design and implement AI solutions for Telecom and Networking use cases.Leverage ML Algorithms, Graph Neural Networks, and Time-series Forecasting Algorithms to drive business value.Develop and deploy data pipelines on GCP for batch and real-time streaming.Deploy ML systems on AWS and Databricks.Maintain and improve existing AI infrastructure using Kubernetes, Docker, Terraform, EKS, and automating deployments and ensuring 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.).Experience in Agentic AI, autonomous multi-agent systems and RAG pipelines.Proven track record in building multiple AI/ML solutions for Telecom and Networking use cases.Proven communication skills and ability to translate technical results into business insights.

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