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Platform Engineer

Job in Mount Laurel, Burlington County, New Jersey, 08054, USA
Listing for: 3B Staffing
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Location: Mount Laurel

Platform Engineer | Hybrid in Canada

About the Role

We are looking for a Platform Engineer with Machine Learning experience to drive the full lifecycle of machine learning models, from development to deployment and ongoing monitoring. This role requires strong experience in CI/CD workflows, model lifecycle management, and cloud-agnostic solutions
. The ideal candidate will work on building and automating ML workflows, ensuring seamless integration and performance of models over time.

Responsibilities
  • Design, build, and manage CI/CD workflows for machine learning models.
  • Develop and implement model lifecycle workflows
    , including training, deployment, and monitoring.
  • Automate model drift detection and manage re-training cycles to maintain accuracy.
  • Ensure cloud-agnostic deployment strategies and integrate with 3rd-party model life cycles
    .
  • Build self-service capabilities to streamline ML model management.
  • Work with trained models
    , integrate with REST APIs
    , and oversee model performance monitoring over time.
  • Manage and release artifacts related to machine learning models.
  • Collaborate with data scientists, engineers, and stakeholders to enhance ML infrastructure.
Requirements
  • Strong knowledge of machine learning principles and best practices.
  • Experience with CI/CD pipelines
    , Git Hub Actions
    , and automated deployment strategies.
  • Hands-on experience with model lifecycle management
    , including retraining and drift detection.
  • Expertise in cloud-agnostic ML deployment solutions.
  • Familiarity with REST APIs and model serving architectures.
  • Knowledge of monitoring tools for tracking model performance over time.
  • Experience working with third-party models and self-service ML platforms.
This is a great opportunity for an ML Engineer who enjoys building scalable, automated workflows and ensuring machine learning models remain performant and reliable over time.
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