TekSynap
Overview
We are seeking an AI/ML Engineer to support National Geospatial-Intelligence Agency (NGA) Artificial Intelligence (AI) efforts. This engineer will play an important role on a team creating technical solutions for multiple AI challenges. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. “Technology moving at the speed of thought” embodies these principles – the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at www.TekSynap.com. Apply now to explore jobs with us! The safety and health of our employees is of the utmost importance. Employees are required to comply with any vaccination requirements mandated by contract, applicable law or regulation. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP". As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration. Responsibilities
Design and implement model ingestion pipelines to onboard new models and datasets Automate extraction, transformation, and loading (ETL) of model metadata (hyperparameters, training datasets, evaluation metrics, licenses) into standardized registries for validation and governance Integrate metadata into unified data ontology structures to enable downstream discoverability and auditability Develop automated model evaluation loops to continuously test and benchmark models against mission-defined performance thresholds Build scoring logic and performance scorecards, integrating with agent monitoring frameworks to detect constraint violations and trigger re-validation workflows Collaborate with governance teams to align validation pipelines to IC/Department of Defense standards and National Geospatial-Intelligence Agency accreditation criteria Implement continuous data/model drift monitoring and mitigation pipelines; create retraining or fallback workflows to maintain operational accuracy Build explainability layers (feature importance, confidence bounds, constraint violation predictions) and automated factsheets for model transparency and audit compliance Integrate reporter agents that automatically collect model outputs, evaluation results, and operational metrics, and generate structured status reports Enable human-in-the-loop checkpoints through interactive dashboards, allowing analysts to provide feedback and influence model lifecycle decisions Required Qualifications
Active Top Secret clearance with SCI eligibility 3+ years of experience designing, training, validating, and deploying ML models (especially computer vision, geospatial analytics, or time-series) Proficiency in Python, PyTorch/TensorFlow, and ML lifecycle tools (MLflow, Kubeflow, Airflow) Experience building data/model ingestion pipelines, metadata registries, and automated scoring/benchmarking frameworks Familiarity with containerized deployment (Docker/Kubernetes), REST APIs, and distributed architectures (e.g., AWS EventBridge) Working knowledge of model governance, explainable AI (XAI) methods, and regulatory/compliance constraints for AI in secure environments Preferred Qualifications
Master’s or Ph.D. in AI/ML, Data Science, or related field Experience implementing drift detection algorithms and active retraining loops Experience with reporter agents and automated reporting dashboards Experience with closed-loop validation pipelines with feedback from human analysts Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A) communications, and multi-agent orchestration frameworks Experience with geospatial/imagery data and NGA tradecraft Additional Job Information
Work Environment and Physical Demands
Location: Reston, Virginia and/or remote. Occasional travel within the National Capital Region (NCR)
Type of environment: Varies
Noise level: Low
Work schedule: 8 hours/day, 40 hours/week, 0600-1800, Monday-Friday, excluding Federal holidays. Evenings and weekends may be required to meet program needs.
Amount of Travel: 10%
PHYSICAL DEMANDS and WORK AUTHORIZATION/SECURITY CLEARANCE The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
U.S. Citizenship
Active Top Secret clearance with SCI eligibility
Other Information
TekSynap is a drug-free workplace. We reserve the right to conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment.
Equal Employment Opportunity
TekSynap does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age, genetic information or any other characteristic protected by law (referred to as “protected status”). This nondiscrimination policy extends to all terms, conditions, and privileges of employment as well as the use of all company facilities, participation in all company-sponsored activities, and all employment actions such as promotions, compensation, benefits, and termination of employment.
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We are seeking an AI/ML Engineer to support National Geospatial-Intelligence Agency (NGA) Artificial Intelligence (AI) efforts. This engineer will play an important role on a team creating technical solutions for multiple AI challenges. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. “Technology moving at the speed of thought” embodies these principles – the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at www.TekSynap.com. Apply now to explore jobs with us! The safety and health of our employees is of the utmost importance. Employees are required to comply with any vaccination requirements mandated by contract, applicable law or regulation. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP". As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration. Responsibilities
Design and implement model ingestion pipelines to onboard new models and datasets Automate extraction, transformation, and loading (ETL) of model metadata (hyperparameters, training datasets, evaluation metrics, licenses) into standardized registries for validation and governance Integrate metadata into unified data ontology structures to enable downstream discoverability and auditability Develop automated model evaluation loops to continuously test and benchmark models against mission-defined performance thresholds Build scoring logic and performance scorecards, integrating with agent monitoring frameworks to detect constraint violations and trigger re-validation workflows Collaborate with governance teams to align validation pipelines to IC/Department of Defense standards and National Geospatial-Intelligence Agency accreditation criteria Implement continuous data/model drift monitoring and mitigation pipelines; create retraining or fallback workflows to maintain operational accuracy Build explainability layers (feature importance, confidence bounds, constraint violation predictions) and automated factsheets for model transparency and audit compliance Integrate reporter agents that automatically collect model outputs, evaluation results, and operational metrics, and generate structured status reports Enable human-in-the-loop checkpoints through interactive dashboards, allowing analysts to provide feedback and influence model lifecycle decisions Required Qualifications
Active Top Secret clearance with SCI eligibility 3+ years of experience designing, training, validating, and deploying ML models (especially computer vision, geospatial analytics, or time-series) Proficiency in Python, PyTorch/TensorFlow, and ML lifecycle tools (MLflow, Kubeflow, Airflow) Experience building data/model ingestion pipelines, metadata registries, and automated scoring/benchmarking frameworks Familiarity with containerized deployment (Docker/Kubernetes), REST APIs, and distributed architectures (e.g., AWS EventBridge) Working knowledge of model governance, explainable AI (XAI) methods, and regulatory/compliance constraints for AI in secure environments Preferred Qualifications
Master’s or Ph.D. in AI/ML, Data Science, or related field Experience implementing drift detection algorithms and active retraining loops Experience with reporter agents and automated reporting dashboards Experience with closed-loop validation pipelines with feedback from human analysts Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A) communications, and multi-agent orchestration frameworks Experience with geospatial/imagery data and NGA tradecraft Additional Job Information
Work Environment and Physical Demands
Location: Reston, Virginia and/or remote. Occasional travel within the National Capital Region (NCR)
Type of environment: Varies
Noise level: Low
Work schedule: 8 hours/day, 40 hours/week, 0600-1800, Monday-Friday, excluding Federal holidays. Evenings and weekends may be required to meet program needs.
Amount of Travel: 10%
PHYSICAL DEMANDS and WORK AUTHORIZATION/SECURITY CLEARANCE The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
U.S. Citizenship
Active Top Secret clearance with SCI eligibility
Other Information
TekSynap is a drug-free workplace. We reserve the right to conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment.
Equal Employment Opportunity
TekSynap does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age, genetic information or any other characteristic protected by law (referred to as “protected status”). This nondiscrimination policy extends to all terms, conditions, and privileges of employment as well as the use of all company facilities, participation in all company-sponsored activities, and all employment actions such as promotions, compensation, benefits, and termination of employment.
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