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Machine Learning Architect

Remote, US Only

No. of opening


Job Description


  • Identify root cause, resolve, test, and document fixes for defects and minor enhancements by following through appropriate change management processes.

  • Ensure that Machine Learning (ML) applications/algorithms Pipelines are working in production environment.

  • Proactively capture and ensure alignment to daily operational performance metrics, ensuring end-to-end visibility on the health of the Machine Learning (ML) applications/algorithms.

  • Deploying, monitoring and troubleshooting of Machine Learning (ML) applications/algorithms.

  • Ensure that internal production support tools and documentation are accurate and continually up to date.

  • Proactively work with internal delivery teams to get to the root cause of data processing or other systems issues. Ensure that deviations from standard processes and routines are identified, captured and work through to resolution as defined by standard tools and processes.

  • Ensure that Channel (Consumers) Integration capabilities and partnerships are well understood, documented.

  • Help govern and support Customer framework and utilization.

  • Proactive in recognizing potential operation issues and risks, actively bringing timely insights and suggestions to bear in mitigation strategies.

  • Analyzes and interprets collected operations data, developing reports and analytics techniques to spot underlying trends and opportunities for improvement.

  • Work directly with internal and external teams to understand the holistic end-to-end role of Machine Learning algorithms and models.

  • Ensure the security and integrity of solutions including compliance with Navy Federal, industry engineering and Information Security principles and practices.

  • Recognize potential issues and risks during the analytics project implementation and recommend mitigation strategies.

  • Document best practices for data analysis, data engineering, and evangelize their usages.

  • Develops reports and presentations for senior management, as needed.

  • Key point of contact between the data analyst/data engineers and the Production support teams.

  • Perform other duties as assigned.


Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field

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