AI/ML Engineer

Lensa
US - Florida - Tallahassee
May 12, 2025

Job Title:
Senior Software Engineer, Data Engineering (Insurance SaaS)
Location:
New York, NY or Remote
Company:
Noblis
Noblis is seeking experts in Artificial Intelligence/Machine Learning to assist the National Aeronautics and Space Administration's (NASA) Air Traffic Management (ATM-X) project in accelerating the transformation of the National Airspace System (NAS).
The work will support the Digital Information Platform (DIP).
The candidate will provide full software development lifecycle services spanning the design, development, testing, and deployment of innovative software solutions with a strong emphasis on user experience, human factors, and software quality to enhance FAA operations.
The work supports the open-source release of machine learning (ML) services by ensuring that the machine learning service Python scripts follow proper coding standards, are well-documented, and checked into software configuration management (git).
The candidate will analyze ML models from the production environments by developing a sample query to ML model prediction database and metrics and plots to visualize accuracy (offline) with matplotlib/seaborn/plotly.
The candidate will develop SQL queries to select the desired metrics from the databases over the timeframe of interest at each airport, identify significant areas and problems to be investigated/quantified based on inputs from industry partners and federal agencies.
The candidate will frame the problem space by using a modeling/analytical approach including a fast-time simulation capability and developing performance requirements for operations, proposing and developing solutions by extending and integrating NASA technologies and capabilities.
Responsibilities:
Build/deploy/test run ML data models and aviation prediction services that will be reused and exposed to partners.
Develop and document ML service Application Programming Interfaces (APIs).
Analysis, testing, and regression testing of Fuser and ML services, including JIRA bug fixes to verify functionality and performance.
Analysis and testing of data on the DIP platform, including JIRA bug fixes to verify functionality and performance.
Query and script development to support testing and analysis.
Test reporting and benefits reporting to understand system performance and quality.
Acquire/synthesize multiple data sources and integrate into a standard DIP-style service.
Required Qualifications:
Minimum 5 years experience in data science and machine learning methods or software development.
Bachelor's degree in Computer Science, Engineering, Operations Research, Human Factors Engineering, or a related discipline.
Eligibility to obtain NASA Suitability.
Experience with Python, Matlab, Python data science packages and visualization tools, SQL, database development, JAVA, C/C++, Linux.
Expertise in software architecture, object-oriented design, unit testing.
Knowledge of the air traffic management operations and data systems (including but not limited to TFMS, TBFM, TFDM, SWIM, SCKS, FMDS, NCR, and FF-ICE).
Experience with cloud computing and AWS.
Experience with Atlassian tools, Confluence, JIRA highly desired.
US Citizenship and the ability to obtain a US government clearance.
Desired Qualifications:
NASA experience.
Active NASA Suitability is preferred.
Master's degree in Computer Science, Engineering, Operations Research, Human Factors Engineering, or a related discipline.
Compensation:
USD $93,200.00 - USD $145,550.00 /Yr.
Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
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