AI Platform Development Lead

4 days ago

tiruchirappalli, India beBeeDevOps Full time

Job OpportunityAs a Senior AI Platform DevOps Engineer, you will be responsible for designing and building a highly available, scalable, modular AI platform using technologies such as Qdrant, Anyscale, and Ray to support LLM orchestration, vector search, and multi-agent frameworks.Platform Design and Architecture: Building and Operating a Highly Available AI PlatformCore Infrastructure Development: Essential APIs and Infrastructure for Conversational ApplicationsLLM Operational Solutions: Implementing Workflows for Large Language ModelsDeployment & Performance Optimization: Deploying AI Services on AWS with KubernetesCollaboration, Governance, & Mentorship: Partnering with Engineering Teams and Research TeamsThe ideal candidate should have 8+ years of experience as a Platform Engineer (Site Reliability/DevOps Engineer), with at least 3+ years in AI/ML platform development (MLOps). They should have deep expertise in Python, strong design and debugging skills, and ability to work independently and lead complex projects. The candidate should also be proficient in cloud platforms such as AWS, GCP, or Azure and familiar with MLOps/AI DevOps tools like MLflow or Kubeflow.This role offers a unique opportunity to work on cutting-edge AI technology and collaborate with cross-functional teams to drive innovation and growth.About the Role:We are seeking a skilled and experienced AI Platform DevOps Engineer to join our team. The successful candidate will have a strong background in AI/ML platform development, cloud computing, and DevOps practices.Key Responsibilities:Design and build highly available, scalable, and modular AI platforms using technologies such as Qdrant, Anyscale, and Ray.Develop core infrastructure components, including essential APIs and infrastructure for conversational applications.Implement workflows for large language models and optimize their performance.Collaborate with engineering teams and research teams to drive innovation and growth.Requirements:8+ years of experience as a Platform Engineer (Site Reliability/DevOps Engineer).At least 3+ years in AI/ML platform development (MLOps).Deep expertise in Python, strong design and debugging skills.Ability to work independently and lead complex projects.Proficiency in cloud platforms such as AWS, GCP, or Azure.Familiarity with MLOps/AI DevOps tools like MLflow or Kubeflow.What We Offer:We offer a dynamic and collaborative work environment, competitive compensation and benefits package, and opportunities for professional growth and development.

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