Expert AI Engineer

6 days ago


vellore, India beBeeArchitect Full time

Job Title: Cloud-Scale AI ArchitectAs a highly skilled Cloud-Scale AI Architect, you will be responsible for leading the design and implementation of large-scale AI systems. Your expertise in cloud-based architectures, machine learning algorithms, and data pipelines will drive business growth and innovation.15+ years of experience in Telecom and Datacom industries with a strong background in 4G/5G, IMS, Routing, Switching, SD-WAN, and Provider Edge.Proven track record in developing and deploying AI/ML solutions for complex use cases, including multi-agent systems and RAG pipelines.Experience in designing and deploying data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub) and AWS for batch and real-time streaming, handling terabyte-scale datasets.Strong expertise in building scalable AI infrastructure using Kubernetes, Docker, Terraform, and EKS, ensuring high availability and observability.Exposure to MLOps frameworks (MLflow, Kubeflow, Airflow) and vector databases (FAISS, Pinecone, Weaviate).Key Responsibilities:Design and implement large-scale AI systems, leveraging cloud-based architectures and machine learning algorithms.Develop and deploy AI/ML solutions for complex use cases, including multi-agent systems and RAG pipelines.Lead the development and deployment of data pipelines on GCP and AWS, handling terabyte-scale datasets.Build and maintain scalable AI infrastructure, ensuring high availability and observability.Collaborate with cross-functional teams to drive architectural direction and communicate technical results to business stakeholders.Requirements:15+ years of experience in Telecom and Datacom industries.8+ years of hands-on experience with ML Algorithms and Graph Neural Networks.Strong programming skills in Python and proficiency with ML/DL libraries (PyTorch, TensorFlow, Scikit-learn).Experience with LLM frameworks (LangChain, Hugging Face, Crew AI, OpenAI APIs).Exposure to MLOps frameworks (MLflow, Kubeflow, Airflow) and vector databases (FAISS, Pinecone, Weaviate).Benefits:The successful candidate will enjoy a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.


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