AI Infrastructure Architect

2 weeks ago

palakkad, India beBeeArtificial Full time

We are seeking a seasoned AI Infrastructure Architect to spearhead the design and deployment of cutting-edge AI solutions for Telecom and Networking use cases.About the Role:This is an exceptional opportunity for a highly skilled professional with a strong background in AI, ML, and data engineering. The ideal candidate will have hands-on experience with leading-edge technologies such as Graph Neural Networks, Time-series Forecasting Algorithms, and LLM frameworks.Responsibilities:Design and deploy scalable AI infrastructure using Kubernetes, Docker, Terraform, and EKS.Develop and implement robust data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub) for batch and real-time streaming.Pioneer the adoption of emerging technologies such as vector databases (FAISS, Pinecone, Weaviate) and MLOps frameworks (MLflow, Kubeflow, Airflow).Leverage expertise in deploying ML systems on AWS and Databricks.Collaborate with cross-functional teams to drive architectural direction and ensure high availability with autoscaling and observability.Requirements:To succeed in this role, you will need: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 Telecom and Networking use cases.Proven communication skills with ability to translate technical results into business insights.What We Offer:We provide a dynamic work environment that fosters innovation, creativity, and growth. As a valued member of our team, you can expect:A competitive salary and benefits package.Opportunities for career advancement and professional development.A collaborative and inclusive work culture.This is an exciting opportunity to join a forward-thinking organization and contribute to shaping the future of AI and data engineering.

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