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ArchitectVeltris • dehradun, uttarakhand, in
Architect

Architect

Veltris • dehradun, uttarakhand, in
10 hours ago
Job description

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 T elecom 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.

Senior Data Scientist - Telecom & Networking

  • 6-8 years of hands-on experience in ML / AI development.
  • 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 deploying ML systems on AWS and Databricks .
  • Experience in Agentic AI , autonomous multi-agent systems , or RAG pipelines .
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate, etc.).
  • Exposure to MLOps frameworks (MLflow, Kubeflow, Airflow).
  • Prior experience in Telecom or Networking is preferred
  • Strong communication skills with ability to translate technical results into business insights.
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    Architect • dehradun, uttarakhand, in

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