Data Scientist - ARC

Florida International University is a Top 50, preeminent public research university with 55,000 students from all 50 states and more than 140 countries, as well as an alumni network of more than 340,000. Located in the global city of Miami, the university offers more than 200 degree programs at the undergraduate, graduate and professional levels, including medicine and law. FIU faculty are leaders in their fields and include National Academy members, Fulbright Scholars and MacArthur Genius Fellows. A Carnegie R1 institution, FIU drives impactful research in environmental resilience, health and technology and innovation. Home to the Wall of Wind and Institute of Environment, FIU stands at the forefront of discovery and innovation. With a focus on student success, economic mobility and community engagement, FIU is redefining what it means to be a public research university.

Serves as a key member of the Research and Development team, focusing on researching advanced algorithms and frameworks to design and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies. Creates service-oriented automation scripts to operationalize these models and provides strategic recommendations to enhance system efficiency, scalability, and performance.

• Design, development, and deployment of mission-critical Artificial Intelligence solutions supporting various Federal agencies.
• Conduct applied research on advanced algorithms in Machine Learning, Deep Learning, Computer Vision, Large Language Models (LLMs), and Agentic AI to solve complex problems.
• Evaluate emerging AI frameworks, architectures, and foundation models for suitability in secure and classified environments.
• Implement secure MLOps pipelines, CI/CD workflows, and containerized deployments for on-premise, and hybrid DoD environments.
• Design API-based AI services for integration into command-and-control systems, decision support tools, and cyber defense platforms.
• Enforce Responsible AI principles, data privacy, bias mitigation, and model validation aligned with federal agency ethical guidelines.
• Collaborate with stakeholders, principal investigators, and cross-functional teams to define requirements and technical roadmaps.
• Produce technical documentation, validation reports, and research publications supporting program milestones and accreditation.
• Provide strategic recommendations to improve system efficiency, scalability, reliability, and mission impact.
• Contribute to proposal development, research planning, and transition of technologies to the stack holders.

Bachelor's degree in MIS, Computer Science, Computer Engineering, Information Studies, or other technical discipline and five (5) years related experience; OR nine (9) years of related experience; OR an equivalent combination of relevant education and/or experience.

U.S. Citizen Required

• Expertise in Machine Learning, Deep Learning, Computer Vision, Large Language Models (LLMs), and Agentic AI architecture.
• Strong proficiency in PyTorch, TensorFlow, Hugging Face, Keras, and scikit-learn.
• Experience designing and fine-tuning foundation models and task-specific models in classified or restricted environments.
• Hands-on experience implementing and deploying secure MLOps pipelines, CI/CD workflows, and model lifecycle management.
• Proficiency with Docker, Podman, Kubernetes, OpenShift, and container security best practices.
• Experience deploying models in on-premises, and hybrid environments.
• Strong understanding of DoD RMF, NIST 800-53/800-171, FedRAMP, STIGs, and Zero Trust Architecture.
• Practical experience implementing XAI techniques (SHAP, LIME, Grad-CAM, attention visualization).
• Strong programming skills in Python, Bash, and one additional language (C++, Java, or Go).
• Experience building microservices, RESTful APIs, and automation scripts for production AI systems.
• Education in computer science, Computer Engineering, OR Data Science.

Administrative

Begin time: 8:30 AM

End time: 5:00 PM

• Required to spend 50% or more of time operating a computer
• Use hands to finger, handle or feel Routinely

Criminal Background Check

Current Employee

As a current employee, you must log into Employee Self Service (ESS) to apply for this and any other internal career opportunity of interest. In this account, you are able to track your applicant status in "My Applications".

To be considered eligible for the position as an internal candidate, departmental staff must meet minimum requirements of the position and be in good performance standing.

Before you begin the process, we recommend that you are prepared to attach electronic copies of your resume/ curriculum vitae, cover letter or any other documents within the application process. It is recommended that you combine your cover letter and resume into one attachment. Attached documents should be in Microsoft Word or PDF format.

*This posting will close at 12:00 am of the close date.

Prospective Employee

If you have not created a registered account, you will be asked to create a username and password for use of the system. It is recommended that you provide an active/valid e-mail account as that will be the main source of communication regarding your status within the process. In this account, you are able to track your applicant status in "My Applications".

To be considered eligible for the position as an internal candidate, departmental staff must meet minimum requirements of the position and be in good performance standing.

Before you begin the process, we recommend that you are prepared to attach electronic copies of your resume, cover letter or any other documents within the application process. It is recommended that you combine your cover letter and resume/curriculum vitae into one attachment. Attached documents should be in Microsoft Word or PDF format. All applicants are required to complete the online application including work history and educational details (if applicable), even when attaching a resume.

*This posting will close at 12:00 am of the close date.

Clery Notice

In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act, the University Police department at Florida International University provides information on crimes statistics, crime prevention, law enforcement, crime reporting, and other related issues for the past three (3) calendar years. The FIU Annual Security report is available online at: https://police.fiu.edu/download/annual-security-fire-safety-report/.

To obtain a paper copy of the report, please visit the FIU Police Department located at 885 SW 109th Avenue, Miami, FL, 33199 (PG5 Market Station).

Pay Transparency

Florida International University will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

FIU is a State University System of Florida member, Equal Opportunity, Equal Access, and Affirmative Action Employer for individuals with disabilities and veterans. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, or protected veteran status. For inquiries regarding nondiscrimination, contact FIU's Office of Civil Rights Compliance and Accessibility at 305.348.2785 or email ocrca@fiu.edu.