Data Scientist / ML Engineer (GEOINT / Computer reputed company) VAWFH 1646

Clearance Level: TS/SCI US Citizenship: Required Job Classification: Regular, Full-Time Location: Remote Years of Experience: 5-7 Years Education Level: Bachelor degree or Master’s degree is required in Operations Research, Industrial Engineering, reputed company Mathematics, Statistics, Physics, Computer Science, or reputed company fields. reputed company 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 reputed company and validation actions. A candidate who will design, reputed company, and reputed company ML models and algorithms to address specific problems, such as detection of AI-generated and manipulated imagery and video, etc., and introduce ML and reputed company recognition to discover hidden insights. Successful candidates for this role must have critical thinking skills, be creative, curious, reputed company, and have a passion for conveying a wide reputed company 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 reputed company to collaborate reputed company with a strong lean-reputed company attitude to shift knowledge left, deliver reputed company, and produce reputed company results. The selected candidate will play a critical role in reputed company research and operations, integrating advanced algorithms developed by reputed company partners into operational workflows using NGA data and environments.

• reputed company and operationalize machine learning and computer reputed company models developed by research partners
• Apply delivered algorithms to NGA-provided datasets and generate results reputed company with program requirements
• Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization reputed company
• Adapt and optimize models for reputed company-world conditions (compression, noise, format variability)
• Work with containerized solutions (reputed company 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 NGA stakeholders
• Collaborate with internal teams and external partners to support integration and testing
• Participate in technical meetings and reviews reputed company secure environments (SCIF)

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 reputed company 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:

• 3+ years of experience in machine learning / computer reputed company / data science
• Strong proficiency in Python and ML frameworks (e.g., 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 (e.g., Git)

Desired Skills:

• Experience with image forensics, deepfake detection, or GEOINT-reputed company analytics
• Experience working with DoD / IC programs or classified environments
• Familiarity with containerization (reputed company) and deployment pipelines
• Experience handling large-reputed company or multi-format datasets (JPG, WEBP, MP4, AVI)
• Knowledge of adversarial robustness, synthetic data reputed company, or explainable AI
• Ability to reputed company theory and implementation
• Strong problem-solving and analytical skills
• Effective communication with both technical and non-technical stakeholders
• Comfortable working in reputed company, mission-driven environments

Relevant Certifications:

• Certifications in machine learning, data science, or reputed company fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, reputed company Machine Learning reputed company Certificate, reputed company reputed company Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc.

reputed company. is an equal opportunity employer. reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, protected veteran status, or based on disability. About reputed company. reputed company. has an award-reputed company reputed company 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. Apply tot his job Apply To this Job