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Machine Learning Deployment Engineer

  • Machine Learning Deployment Engineer job type Posted on: Nov 04, 2026
  • Machine Learning Deployment Engineer experience level Optomi
  • Machine Learning Deployment Engineer employment type Jersey City, New Jersey
  • Machine Learning Deployment Engineer employment type Onsite
  • Machine Learning Deployment Engineer salary Full-time

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Job Title :

Machine Learning Deployment Engineer

Job Type :

Full-Time

Job Location :

Jersey City New Jersey United States

Remote :

No

Jobcon Logo Job Description :

Optomi, in partnership with a technology-driven company, is looking for a Machine Learning Deployment Engineer. The ideal candidate will have over 5 years of experience, focusing on deployment and machine learning activities. The role emphasizes the use of Python, Databricks/MLflow pipelines, and model registry. Candidates will be responsible for CI/CD promotion, EKS serving, drift monitoring, and providing model-risk evidence.What the right candidate will enjoy:Working on cutting-edge machine learning deployment projects.Utilizing advanced technologies like Databricks and MLflow.A dynamic and challenging work environment.What type of experience does the right candidate have:Proven track record with Python and machine learning deployment.Extensive experience with Databricks/MLflow pipelines.Strong understanding of CI/CD processes and EKS serving.What the responsibilities are of the right candidate:Implementing and maintaining machine learning models.Ensuring robust CI/CD promotion and drift monitoring.Managing model registry and producing model-risk evidence.

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4476816170

Employment:

Full-time

City:

Jersey City

Job Origin:

APPCAST_CPC

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Optomi, in partnership with a technology-driven company, is looking for a Machine Learning Deployment Engineer. The ideal candidate will have over 5 years of experience, focusing on deployment and machine learning activities. The role emphasizes the use of Python, Databricks/MLflow pipelines, and model registry. Candidates will be responsible for CI/CD promotion, EKS serving, drift monitoring, and providing model-risk evidence.What the right candidate will enjoy:Working on cutting-edge machine learning deployment projects.Utilizing advanced technologies like Databricks and MLflow.A dynamic and challenging work environment.What type of experience does the right candidate have:Proven track record with Python and machine learning deployment.Extensive experience with Databricks/MLflow pipelines.Strong understanding of CI/CD processes and EKS serving.What the responsibilities are of the right candidate:Implementing and maintaining machine learning models.Ensuring robust CI/CD promotion and drift monitoring.Managing model registry and producing model-risk evidence.

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