Date Posted:2026-08-26 Country:United States of America Location:US-IN-FT WAYNE-150A ~ 1010 Production Rd ~ BLDG 150A Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required
Description Sharetec is looking for a Senior Programmer to join our team! At Sharetec, we believe in a people-first business. Our mission is to make millions of peoples lives easier by developing innovative core banking and
GAI Consultants is seeking a Senior Engineering Manager with 15+ years of experience in managing traffic and engineering projects. Join GAI and make your mark among a team of engineering, planning, and environmental consultants who provide
Client location is Ft. Wayne, Indiana. If you are located in Ft. Wayne the job is Hybrid. 2-3 days on site. If you are in Indianapolis, IN area. You will make Quarterly visits to Ft. Wayne
Legal Assistant Employment Type: Full-Time, Entry Level Department: Legal As a CGS Legal Assistant, you will work under the direction of a Supervisory Paralegal or Project Supervisor. You will provide litigation and administrative support to a group
Job Description Essential Duties and Responsibilities: - Oversee and manage the Projects financial performance, including budgeting, forecasting, and analyzing profit and loss statements to ensure financial targets are met and profitability is maintained. - Ensure program
Essential Duties and Responsibilities - Serve as a subject matter expert and provide guidance on Information Security solutions, supporting other engineers in selection, integration, and optimization. - Lead or actively contribute to other information security projects
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side