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Role Summary
We are seeking an AI Platform Engineer with strong Microsoft ecosystem expertise to design build and manage AIML platforms at scale The role involves enabling Generative AI multimodal AI and enterprisegrade AI services using Azure technologies
Key Responsibilities
Architect and maintain AIML platforms on Microsoft Azure for training finetuning and inference
Implement InfrastructureasCode using ARM Bicep or Terraform
Deploy and manage containerized AI workloads using Azure Kubernetes Service AKS
Optimize GPU clusters for AI model training and inference
Build CICD pipelines for AI workloads using Azure DevOps
Integrate with Azure Data Lake Azure Video Indexer and Azure Cognitive Services for multimodal AI
Implement MLOps using Azure Machine Learning for model lifecycle management
Ensure security compliance and observability using Azure Monitor Key Vault and RBAC
Required Skills
Strong experience with Microsoft Azure AKS AML ADLS Cognitive Services
Proficiency in Python for automation and ML pipelines
Handson with Kubernetes Docker and GPU orchestration
Knowledge of DevOps MLOps concepts and tools
Familiarity with LLM frameworks and multimodal AI architectures
Preferred Qualifications
BachelorsMasters in Computer Science or related field
Experience deploying Generative AI or multimodal AI systems on Azure
Strong understanding of AI governance and security best practices
Mandatory Skills : MLOPS
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