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Machine Learning Engineer (5155)

Glen Allen, VA 23059

Posted: 08/30/2019 Employment Type: Direct Job Category: Software Engineer Job Number: 5155

Morton is seeking a Machine Learning Engineer for our client in the Richmond, VA area. The Machine Learning Engineer is an integral member of the AI Engineering group who partners with data scientists to design, build, deploy, and support AI-powered applications that transform products and operations using machine learning and related techniques. The machine learning engineers take a modern, full-stack approach to prototyping, developing, deploying, and operating advanced analytics applications and infrastructure in production environments. Working in an organization for which data is the primary raw material, finished product, and core asset provides an unusually rich environment for a machine learning engineer to make an impact.

  • Partner with data scientists to identify, prototype, develop, deploy, and operate AI-powered applications in production settings
  • Manage and support the organization' s cloud-based data and computing platforms and infrastructure for AI applications
  • Help drive the organization' s initiatives and vision around data pipelines, DevOps, and cloud architecture
  • Work with a machine-learning-first mindset

  • University degree in engineering or a related field
  • Experience releasing and supporting a production software deployment in a cloud environment
  • Demonstrated expertise in some full-stack combination of:
    • Data Engineering
    • Data Science
    • Data Architecture
    • Web UI / UX
    • Software Engineering
    • Cloud Architecture
    • DevOps, Docker, Kubernetes
  • Entrepreneurial spirit

Preferred Qualifications:
  • Graduate degree in a technical field
  • Experience operationalizing machine learning applications in a production setting
  • Deep Python and or React expertise
  • Experience with applied machine learning tools e.g. Scikit-Learn, TensorFlow, PyTorch
  • Applied experience with text extraction and information retrieval
  • Demonstrated UI and UX expertise in delivering end-to-end intuitive web UI experiences
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