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Mlops DevOps 

Full-time 60 USD
Role : Mlops DevOps
Location : Atlanta/ Charlotte candidates preferred
Duration: 5 Months
Key Responsibilities
  • Build and manage end-to-end MLOps pipelines using AWS SageMaker and SageMaker Domains.
  • Develop GitLab CI/CD pipelines for automated model build, testing, and deployment.
  • Automate AWS infrastructure using Terraform / IaC.
  • Containerize workloads using Docker and manage images through Amazon ECR.
  • Design secure AWS environments using VPC, IAM, Security Groups, and SNS.
  • Develop data pipelines using PySpark and integrate with Snowflake.
  • Implement SageMaker model monitoring for drift, performance, data quality, and alerts.
  • Support model deployment, versioning, rollback, monitoring, and troubleshooting.
  • Ensure security, governance, compliance, and auditability of MLOps workflows in a banking environment.
  • Collaborate with Data Science, ML Engineering, Data Engineering, Cloud, and Security teams.
Required Skills
  • AWS SageMaker & SageMaker Domains
  • MLOps / ML Pipeline Development
  • GitLab CI/CD
  • Terraform / Infrastructure as Code
  • Docker & Amazon ECR
  • AWS VPC & IAM
  • Python & PySpark
  • Snowflake
  • SageMaker Model Monitoring (Drift & Performance)
  • AWS SNS / CloudWatch
  • Model Deployment & Governance
  • AWS Cloud Security & Compliance
Experience with
AWS VPC, IAM, SNS, PySpark, Snowflake, and SageMaker Model Monitoring is required. The ideal candidate should also have experience with
model drift/performance monitoring, cloud security, governance, auditability, and compliance, preferably within the
banking or financial services industry.
Key Skills: AWS SageMaker | SageMaker Domains | MLOps | GitLab CI/CD | Terraform | Docker | ECR | VPC | IAM | SNS | PySpark | Snowflake | Model Monitoring | Python | AWS Cloud Security.
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Mlops DevOps 

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