Data Scientist - AI/ML models, LLMs, MLOps, AWS, and Databricks Exp - Local to Duluth, GA

Role Overview:

We are seeking an experienced Sr. DataOps Engineer with a strong background in AWS, Databricks, CI/CD automation, and infrastructure-as-code.

The ideal candidate will have hands-on experience automating data infrastructure, managing cloud resources, and deploying models in modern data environments.

Key Responsibilities:

• Develop and manage CI/CD pipelines using GitHub Actions or GitLab CI/CD
• Automate AWS infrastructure using Terraform or CloudFormation
• Manage and optimize cloud resources (EC2, S3, IAM, CloudWatch, Lambda)
• Deploy and administer Databricks clusters, notebooks, and model endpoints
• Implement cloud security policies, IAM roles, and compliance configurations
• Set up observability dashboards and optimize AWS costs
• Collaborate with data engineers/scientists to enable scalable, secure data platforms
• Enforce DevSecOps best practices and support production readiness

Must-Have Skills:

• AWS Services: EC2, S3, IAM, Lambda, CloudWatch, Systems Manager
• CI/CD Automation: GitHub Actions, GitLab CI/CD, or CodePipeline
• Infrastructure-as-Code: Terraform or CloudFormation
• Databricks: Workspace & cluster management, AWS integration
• Scripting: Python or Bash for automation tasks