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            Job Description
            
                Job Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & ResponsibilitiesDesign, deploy and manage scalable & secure cloud infrastructureApply least privilege across cloud platforms (Azure, RBAC, AWS IAM)Enable audit logging controls appropriate for Gen AI/ML workloadsImplement CI/CD for data science/ML pipelines with Azure Dev Ops or AWS Code PipelineEnable production models across the ML lifecycle (deployment, monitoring for drift, retraining, technical evaluation, and business validation)MLOps Engineer - Required ExperienceAzure ML, Azure AI Services, Azure AI Search; AWS Sage Maker, AWS Bedrock, AWS LambdaExposure to Generative AI and Agentic AI ecosystems, such as Azure Open AI, Azure AI Foundry/Hub, Bedrock, Anthropic Claude, Open AI API, Llama Cloud, Lang ChainAzure Policy, Azure RBAC, AWS IAM, AWS SCPs; audit logging; least-privilege designARM/Bicep, Terraform, Cloud Formation, CDKAzure Dev Ops or AWS Code Pipeline; integration and delivery for data science and ML workflowsAzure Blob/Cosmos/SQL/Key Vault; AWS S3/Dynamo DB/RDS; understanding of OLTP and OLAP patternsAzure Dev Ops or AWS Code Pipeline; integration and delivery for data science and ML workflows.Interviews: October 2025Start Date: November 2025How to Apply:Apply to Gary Hargreaves at X4 Technology to learn more about the role or connect with me on  to hear about regular job updates available with X4 Technology
            
         
  
  
  
        
        
        
        
        
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