Machine Learning Engineer

Salary: $95,000 - 135,000 per year Requirements:

• Understanding of AWS fundamentals, including networking, IAM security, EC2/ECS, S3, Lambda, and SQS
• Experience developing in Python for scripting, automation, or Lambda-based services
• Hands-on experience with Terraform or other Infrastructure as Code tools
• Familiarity with CI/CD tools such as Jenkins or GitHub Actions
• Exposure to Linux environments and shell scripting
• Strong problem-solving skills and eagerness to learn new technologies
• Ability to collaborate effectively with cross-functional teams

• Build, maintain, and improve AWS infrastructure for Amazon SageMaker and related machine learning services
• Develop and maintain Infrastructure as Code using Terraform, and support CI/CD automation for infrastructure and ML workflows
• Monitor platform reliability, performance, and cost efficiency; troubleshoot infrastructure and deployment issues
• Work with data scientists and ML engineers to improve platform usability and contribute to documentation and operational best practices

• AWS
• Lambda
• CI/CD
• Cloud
• EC2
• GitHub
• IAM
• Support
• Jenkins
• Linux
• Machine Learning
• Python
• Security
• Terraform

More:

We are supporting a leading financial services organization seeking an engineer to help develop and enhance a modern AWS-based machine learning platform for data scientists and ML engineers. This onsite role is based in Cincinnati, Ohio, and offers hands-on experience with cloud infrastructure, automation, and ML operations in a growing, high-impact environment. Youll work with technologies such as SageMaker, deepen your AWS and infrastructure automation skills, and contribute to a collaborative engineering culture focused on learning, documentation, and continuous improvement.

last updated 42 week of 2026