At CTI, a Parsons Company, we deliver cutting-edge technology solutions that empower end-users to SEE (Sense, Evaluate, Effect) the invisible battlespace. Our mission is to provide critical capabilities across spectrum operations, communications, cyberspace, information space, human terrain, gray space, geo-intelligence, modeling & simulation, ISR (Intelligence, Surveillance & Reconnaissance), JADC2 (Joint All-Domain Command and Control), covert operations, and more. These integrated solutions drive mission success, close the Kill Chain, and ensure operational superiority.
Founded in April 2000, CTI was built with a clear purpose: to provide user-focused, high-end software and systems development for the Defense and Intelligence communities. Our team of highly skilled, technically diverse developers works hand-in-hand with military personnel to design and deliver solutions that make a real impact on the fight.
Headquartered in Prince Frederick, Maryland, and supported by a robust remote workforce nationwide, CTI is strategically positioned to serve a wide range of DoD and agency customers. As part of Parsons Corporation, we've expanded our capabilities and strengthened our commitment to delivering mission-critical solutions that matter.
We are seeking a Machine Learning Engineer (MLOps focus) who will be a key technical contributor in advancing CTI's artificial intelligence and machine learning capabilities. This role supports United States Special Operations Command (SOCOM) programs and other advanced defense initiatives by ensuring that ML models are not only trained effectively, but also deployed, monitored, and sustained in real-world operational environments, including edge-deployed systems. We're seeking a Machine Learning Engineer with deep expertise in MLOps, model deployment, and infrastructure automation to build scalable, secure, and production-grade ML systems. The successful candidate will be passionate about building and automating ML pipelines, implementing modern MLOps practices, and driving innovation that directly impacts mission outcomes. With hands-on experience taking ML models from concept to production deployment, this engineer will help CTI deliver highly reliable, scalable, and mission-ready ML solutions to the battlefield.
Responsibilities include, but are not limited to:Location: This is a fully onsite position based at MacDill Air Force Base in Tampa, Florida. Remote work is not available for this role.
Travel requirements: Willingness and ability to travel up to 25%.
Necessary Skills and ExperienceCTI, a Parsons Company, is a rapidly growing company offering the following:
CTI is an Equal Opportunity employer and shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Machine Learning Engineer • Tampa, FL, US
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