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Data Scientist / ML Engineer (GEOINT / Computer Vision) VAWFH 1646

April 30, 2026

Clearance Level: TS/SCI US Citizenship: Required Job Classification: Regular, Full-TimeLocation: Remote Years of Experience: 5-7 YearsEducation Level: Bachelor degree or Master’s degree is required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.<ol></ol> Briefly Describe the Work: GITI is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. A candidate who has experience analyzing large datasets with preprocessing data skills, data cleansing, and conducting data integrity and validation actions. A candidate who will design, develop, and integrate ML models and algorithms to address specific problems, such as detection of AI-generated and manipulated imagery and video, etc., and introduce ML and pattern recognition to discover hidden insights. Successful candidates for this role must have critical thinking skills, be creative, curious, resourceful, and have a passion for conveying a wide range of information through research leading to deeper insights. The candidate may work independently but participate in project-wide reviews of requirements, system architecture, and detailed design documents. An ML Engineer must be able to collaborate well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results. The selected candidate will play a critical role in bridging research and operations, integrating advanced algorithms developed by academic partners into operational workflows using NGA data and environments. <ul><li>Integrate and operationalize machine learning and computer vision models developed by research partners</li><li>Apply delivered algorithms to NGA-provided datasets and generate results aligned with program requirements</li><li>Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality</li><li>Adapt and optimize models for real-world conditions (compression, noise, format variability)</li><li>Work with containerized solutions (Docker or similar) to support deployment and reproducibility</li><li>Translate research concepts, theory, and technical reports into practical implementations and workflows</li><li>Generate technical reports, visualizations, and summaries suitable for NGA stakeholders</li><li>Collaborate with internal teams and external partners to support integration and testing</li><li>Participate in technical meetings and reviews within secure environments (SCIF)</li></ul> Career level with a complete understanding and wide application of technical principles, theories and concepts. Working under only general direction, provides technical solutions to a wide range of difficult problems. Independently determines and develops approach to solutions. Bachelor's (or equivalent) with 5 - 7 years of experience, or a Master's and 3 to 5 years of experience. Required Skills: <ul><li>3+ years of experience in machine learning / computer vision / data science</li><li>Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)</li><li>Experience working with image and/or video data</li><li>Ability to understand and implement research-level algorithms from technical papers and reports</li><li>Experience with model evaluation, validation, and performance analysis</li><li>Familiarity with Linux-based environments and version control systems (e.g., Git)</li></ul> Desired Skills: <ul><li>Experience with image forensics, deepfake detection, or GEOINT-related analytics</li><li>Experience working with DoD / IC programs or classified environments</li><li>Familiarity with containerization (Docker) and deployment pipelines</li><li>Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI)</li><li>Knowledge of adversarial robustness, synthetic data generation, or explainable AI</li><li>Ability to bridge theory and implementation</li><li>Strong problem-solving and analytical skills</li><li>Effective communication with both technical and non-technical stakeholders</li><li>Comfortable working in structured, mission-driven environments</li></ul> Relevant Certifications: <ul><li>Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc. </li></ul> Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...