Aws Engineer, DevOps, Machine Learning

11 hours ago


India X4 Technology Full time

MLOps Engineer Job Type: Contract Fully Remote Contract Length: 3-6 Months MLOps Engineer - Role & Responsibilities Design, deploy and manage scalable & secure cloud infrastructure Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM) Enable audit logging controls appropriate for GenAI/ML workloads Implement CI/CD for data science/ML pipelines with Azure DevOps or AWS CodePipeline Enable production models across the ML lifecycle (deployment, monitoring for drift, retraining, technical evaluation, and business validation) MLOps Engineer - Required Experience Azure ML, Azure AI Services, Azure AI Search; AWS SageMaker, AWS Bedrock, AWS Lambda Exposure to Generative AI and Agentic AI ecosystems, such as Azure OpenAI, Azure AI Foundry/Hub, Bedrock, Anthropic Claude, OpenAI API, LlamaCloud, LangChain Azure Policy, Azure RBAC, AWS IAM, AWS SCPs; Azure DevOps or AWS CodePipeline; integration and delivery for data science and ML workflows Azure Blob/Cosmos/SQL/Key Vault; AWS S3/DynamoDB/RDS; Azure DevOps or AWS CodePipeline; integration and delivery for data science and ML workflows. Apply to Gary Hargreaves at X4 Technology to learn more about the role or connect with me on LinkedIn to hear about regular job updates available with X4 Technology



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