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

• 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.