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    Senior Full Stack Software Enginer - Annapolis, United States - IC Defense

    IC Defense
    IC Defense Annapolis, United States

    2 weeks ago

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    Description

    Description:

    Join CNO's Custom Media Operations team, recent winners of the President's Intelligence Advisory Board Killian Award for outstanding mission support. CMO is leading the charge on AI/ML capabilities in the IC. You will support the team in full-stack web development efforts that connect CMO's capabilities with their customers. This is a small team, so you will see products through their full lifecycle and take full ownership of their success.

    Responsibilities:

    • Build a full stack application in collaboration with machine learning and artificial intelligence engineers doing novel computer vision model development.
    • Interact with ML/AI engineers, senior stakeholders, and CMO customers to provide the best possible user experience for all involved.
    • Continue development of the CMO homepage and website, which is not only customers' first impression of the organization but also used by CMO to track individual deliverables through their workflow and includes self-service features for the CMO team.
    • Prototype future capabilities with the CMO data science team as they generate new ideas to meet their customers' needs.

    Qualifications:

    • Active and current TS.SCI w FSP
    • 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

    Skills Requirements:

    • Successful applicants must be self-starters, capable of scoping and tracking work through completion, directing their own timelines, reaching out to users to iterate on new capabilities, and testing and deploying their software.
    • Full stack development experience including data science work is a must, especially with the following technologies:
    • Docker
    • General DevOps experience, including GitLab CI/CD
    • Java and Spring Boot
    • MongoDB
    • UI development including JavaScript, React, and/or Material UI.
    • Machine learning experience, and experience working with data scientists and deploying ML models.
    • Experience with AWS (especially C2S).

    Preferred:

    • Experience with Python.
    • Experience with and Express.
    • Experience with NiFi.

    Applicants for positions requiring security clearance will be automatically rejected for candidates not meeting the Security Clearance requirement.

    #J-18808-Ljbffr
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