MLOps Engineer

X4 Technology

0 years

0 Lacs

india

Posted:1 day ago| Platform:

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Skills Required

design azure aws audit logging controls ml data devops deployment monitoring drift evaluation ai sagemaker openai api iam terraform integration sql vault dynamodb olap technology connect

Work Mode

Remote

Job Type

Contractual

Job Description

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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; audit logging; least-privilege design
ARM/Bicep, Terraform, CloudFormation, CDK
Azure DevOps or AWS CodePipeline; integration and delivery for data science and ML workflows
Azure Blob/Cosmos/SQL/Key Vault; AWS S3/DynamoDB/RDS; understanding of OLTP and OLAP patterns
Azure DevOps or AWS CodePipeline; integration and delivery for data science and ML workflows.

Interviews:

Start Date:

How to Apply:

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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