Chief Scientist

Clearance Level: TS/SCIship: RequiredJob Classification: Regular, Full-TimeLocation: Reston, VAYears 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.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 with detection of AI-generated and manipulated imagery, or introduction of pattern recognition for imagery. 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 into operational workflows.Integrate and operationalize machine learning and computer vision models developed by research partnersApply algorithms to datasets and generate results aligned with project requirementsEvaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization qualityAdapt and optimize models for real-world conditions (compression, noise, format variability)Work with containerized solutions (Docker or similar) to support deployment and reproducibilityTranslate research concepts, theory, and technical reports into practical implementations and workflowsGenerate technical reports, visualizations, and summaries suitable for stakeholdersCollaborate with internal teams and external partners to support integration and testingParticipate in technical meetings and reviews within secure environments. Candidates must have 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.Required Skills:3+ years of experience in machine learning / computer vision / data scienceStrong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)Experience working with image and/or video dataAbility to understand and implement research-level algorithms from technical papers and reportsExperience with model evaluation, validation, and performance analysisFamiliarity with Linux-based environments and version control systems (e.g., Git)Desired Skills:Experience with image forensics, alteration detection, or related analyticsExperience working in classified environmentsFamiliarity with containerization (Docker) and deployment pipelinesExperience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI)Knowledge of synthetic data generation or explainable AIAbility to bridge theory and implementationStrong problem-solving and analytical skillsEffective communication with both technical and non-technical stakeholdersComfortable working in structured, mission-driven environmentsRelevant Certifications: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.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.