AI Infrastructure Strategist

6 days ago


dindigul, India beBeeDevOps Full time

Unlock AI Platform ExcellenceA Senior DevOps Engineer will build a robust, scalable AI platform using cutting-edge technologies like Qdrant, Anyscale, and Ray. They will design core infrastructure, implement Large Language Model workflows, deploy AI services on AWS with Kubernetes, and collaborate with cross-functional teams to deliver high-quality services.The ideal candidate has a strong background in cloud computing, Python programming, and AI/ML platform development. They should possess excellent design and problem-solving skills, hands-on experience with CI/CD pipelines, model observability, and incident response for AI/ML services.Key Responsibilities:Design and develop a modular AI platform architectureImplement Large Language Model workflows using Ray and QdrantDeploy AI services on AWS with KubernetesCollaborate with engineering teams to deliver production-grade servicesEnsure smooth operation of the AI platform through monitoring and incident responseRequirements:8+ years of experience as a Platform Engineer3+ years in AI/ML platform developmentDeep expertise in Python programmingStrong design and debugging skillsProficiency in working with cloud platforms like AWSHands-on experience with CI/CD pipelines, model observability, and incident responseWhat We Offer:Opportunity to work on cutting-edge AI projectsCollaborative environment with experienced engineersProfessional growth and development opportunities


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