Design and build cloud applications and data pipelines using platform-as-a-service and open-source tools.
Develop interactive dashboards, visualizations, and reports leveraging open-source or business intelligence tools.
Collect, validate, analyze, and interpret data using standard practices, supporting both quantitative and qualitative analysis.
Perform computer modeling and forecasting using standard software packages.
Architect and deploy advanced artificial intelligence solutions, including natural language processing, computer vision, automatic speech recognition, and generative AI.
Write clean, replicable, and well-documented code in shared environments; review and optimize code for efficiency.
Ensure data accuracy and integrity by developing systems for validation and maintenance.
Collaborate independently and in teams on moderately complex assignments under indirect supervision.
Coordinate project support needs and respond to requests from senior management and clients.
Present findings and contribute to internal and external meetings, occasionally organizing content.
Stay current with emerging technologies and recommend innovative solutions to complex problems.
Leverage external resources to enhance project outcomes and deliverables.

Requirements

Bachelor’s degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) with at least 2 years of experience, or a Master’s degree in a similar discipline.
Python programming proficiency is a core requirement.
Proficient with database technologies such as MySQL and MS SQL Server.
Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required.

Benefits

AIR’s Total Rewards Program
Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata pipelinesdata analysiscomputer modelingforecastingnatural language processingcomputer visionautomatic speech recognitiongenerative AIdatabase technologies

Soft Skills

collaborationcommunicationindependent workproject coordinationpresentation skillsproblem-solvingorganization