Senior Machine Learning Engineer

Marathon TS • United State
Remote
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AI Summary

We are seeking a skilled Senior Machine Learning Engineer to support our 6-month remote contract with a major enterprise client.

Key Highlights
Building, deploying, and standardizing production machine learning modules
Collaborating with engineering teams on CI/CD, automation, and deployment best practices
Working within cloud environments (GCP preferred) to support scalable ML solutions
Key Responsibilities
Build and deploy production machine learning modules and services
Monitor model performance and help maintain production stability / business continuity
Collaborate with engineering teams on CI/CD, automation, and deployment best practices
Technical Skills Required
Machine Learning Python SQL GCP AWS Git CI/CD tools

Job Description


Machine Learning Engineer

100% Remote

6 Month Contact (possible extension)


Marathon TS is seeking a Machine Learning Engineer to support a 6-month remote contract with a major enterprise client. This role is focused on building, deploying, and standardizing production machine learning modules within a large-scale engineering environment.


We are looking for an engineer who can work independently, write clean production code, and help deploy and support ML systems in the cloud with minimal hand-holding.


Key Responsibilities:

  • Build and deploy production machine learning modules and services
  • Write and optimize Python code for model deployment, APIs, and integration
  • Support ML standardization efforts across existing systems and workflows
  • Monitor model performance and help maintain production stability / business continuity
  • Work within cloud environments (GCP preferred) to support scalable ML solutions
  • Collaborate with engineering teams on CI/CD, automation, and deployment best practices
  • Integrate ML systems into enterprise applications and backend services


Required Qualifications:

  • 4+ years of software engineering experience
  • 1+ year of machine learning or data science experience
  • Strong Python development experience
  • Experience deploying ML models or ML-powered systems into production
  • Cloud experience (GCP preferred, AWS acceptable if able to ramp quickly)
  • Experience with Git and CI/CD tools
  • Strong SQL skills
  • Experience working with APIs and backend system integrations

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