Job Description
Position Overview Clearance Level:
TS/SCI; US Citizenship:
Required. Job Classification:
Regular, Full-Time. Location:
Reston, VA. Years of Experience:
5-7 Years. Education Level:
Bachelor's degree or Master's degree required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Brief Description Global InfoTek (GITI) seeks a Machine Learning (ML) Engineer to research, develop, architect, and integrate ML models, algorithms, tools, and techniques into existing or new environments. The role will involve analyzing large datasets, preprocessing and cleansing data, conducting data integrity and validation, and designing ML models for detection of AI-generated and manipulated imagery or pattern recognition for imagery. Responsibilities Research, develop and integrate ML models and algorithms to address specific problems. Work independently but also participate in project-wide reviews of requirements, system architecture, and detailed design documents. Apply algorithms to datasets and generate results aligned with project requirements. Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality. Adapt and optimize models for real-world conditions (compression, noise, format variability). Work with containerized solutions (Docker or similar) to support deployment and reproducibility. Translate research concepts, theory, and technical reports into practical implementations and workflows. Generate technical reports, visualizations, and summaries suitable for stakeholders. Collaborate with internal teams and external partners to support integration and testing. Participate in technical meetings and reviews within secure environments. Required Skills 3+ years of experience in machine learning, computer vision, and data science. Strong proficiency in Python and ML frameworks (eg, PyTorch, TensorFlow). Experience working with image and/or video data. Ability to understand and implement research-level algorithms from technical papers and reports. Experience with model evaluation, validation, and performance analysis. Familiarity with Linux-based environments and version control systems (eg, Git). Desired Skills Experience with image forensics, alteration detection, or related analytics. Experience working in classified environments. Familiarity with containerization (Docker) and deployment pipelines. Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI).Knowledge of synthetic data generation or explainable AI. Ability to bridge theory and implementation. Strong problem-solving and analytical skills. Effective communication with both technical and non-technical stakeholders. Comfortable working in structured, mission-driven environments. Relevant Certifications Certifications in machine learning, data science, or related fields (eg, 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 disability. 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.
