Architect

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

• 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.