Brain Gain Recruiting Β· 2 days ago
Aerospace AI Operations Engineer
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Responsibilities
Develop and support AI Engines using core AI functions. This includes AI results presentation, internal and external interfaces, engineering documentation, and AI customization to address customer issues.
Support data engineering, data consistency checking, and preprocessing pipelines that produce AI metadata from raw data.
Support scalable AI deployment. The analytics pipeline includes aerospace grade algorithm verification, test coverage, reporting logic, compilation, and build. It produces object code and resource files that feed into DevSecOps pipeline for the cloud app.
Interface with and support the cloud software team that deals with Analytics Engine as a black box with a well-defined API.
Occasionally interface with customers on data issues, analysis result interpretation, and eventually on the business value of the AI analytics.
Document and coordinate improvement for components, products, and processes.
Qualification
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Required
Degree in Engineering, Applied Math, Computer Science, Physics, or a similar discipline, from a top school.
5+ years of industry experience with analytical applications including experience with developing and maintaining analytical code base.
Strong MATLAB experience
Ability to produce thorough documentation as evidenced by academic, research, professional, or industry publications. Examples are graduate theses or technical papers. GitHub contributions might be substituted for technical publications.
Rigor and attention to detail necessary for development of mission-critical mathematical software.
Java code maintenance experience
Experience with GitHub including GitHub Actions
Excellent communication and collaboration skills
US Citizenship
Preferred
Experience with some of the following: statistics, optimization, controls, signal processing, applied math, and related practical applications
Familiarity with model-based development and simulation-based verification
Shell scripting