AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at Radiancetech. Wright-Patt AFB · full-time · no salary stated · we estimate $142,875–$228,150 across the United States.
Radiancetech has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and ship AI/ML components that help analysts characterize complex threats with speed and accuracy
- Connect analytic tools, create usable interfaces, and add user monitoring, model-drift checks, and demand tracking
- Prepare datasets for model training and evaluation, document each preparation step, and keep the work reproducible
- Deliver an AI/ML software stack that fits government architecture, data flows, and security controls
- Train and maintain shareable models, recording evaluation results and setting retraining and versioning practices
What you bring
- A bachelor's degree in computer science, data science, AI, or a related discipline
- An active TS/SCI clearance and at least three years of direct work experience
- A record of designing, building, and deploying AI/ML solutions
- Hands-on work with cloud-native applications, event-driven systems, Kubernetes platforms, and CI/CD pipelines
- Experience with TensorFlow, PyTorch, or Scikit-learn and collaboration on technical teams and customer engagements
Who this fits
This role suits an AI/ML engineer who can work across model development, cloud deployment, and secure government environments. An active TS/SCI clearance is required.
From the employer
Radiance Technologies is seeking an experienced AI/ML Engineer to support the National Air and Space Intelligence Center (NASIC). The selected candidate will design, develop, test, and deliver AI/ML components to advance the Intelligence Community’s (IC) ability to characterize complex adversary threats with speed and accuracy. This role involves integrating modernized analytic tools, leveraging relevant data sources, and delivering scalable AI/ML solutions within government cloud architectures.
You will design, integrate, and optimize full-lifecycle ML pipelines, from data ingestion and model training to deployment and monitoring, ensuring all solutions meet DoW and Intelligence Community security and compliance standards.
You will evaluate emerging technologies, assessing their ability to achieve long-term, reliability, scalability, and mission success. This role requires ability to integrate advanced AI/ML capabilities within secure environments, and a commitment to delivering solutions that adhere to federal security and compliance standards.
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Active TS/SCI security clearance.
- 3 + years of direct work experience
- Proven experience in designing, developing, and deploying AI/ML solutions.
- Practical experience with scalable cloud-native applications and event-driven architecture.
- Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with Kubernetes-based platforms and CI/CD pipelines.
- Experience collaborating with multidisciplinary technical teams and supporting customer-facing technical engagements
Key Responsibilities-
Tool Integration:
- Integrate modernized analytic tools into AI/ML capabilities.
- Develop user-friendly interfaces for AI/ML tools.
- Incorporate monitoring services, including user-enabled monitoring, model drift detection, and model demand tracking
Data Requirements:
- Leverage relevant data sources and types for AI/ML models, including connections to future data sources.
- Provide access to datasets necessary for training, testing, and validating AI/ML models.
- Document and ensure reproducibility of data preparation steps.
AI/ML Services:
- Deliver a scalable AI/ML software stack supporting the AI/ML lifecycle across NASIC.
- Ensure AI/ML components operate within the architecture, data pipelines, and security frameworks defined by the government.
- Design processes for easy sharing of AI/ML models.
AI/ML Models:
- Design scalable, maintainable, shareable, and adaptable AI/ML models.
- Train models using government-approved datasets and document training procedures and evaluation results.
- Define retraining triggers, update procedures, and versioning practices to ensure ongoing model accuracy and reliability.
- Adhere to industry-accepted AI/ML development principles, including transparency, accountability, and responsible use of data and AI/ML.
Desired:
- Kubernetes certifications (CKA, CKAD)
Radiance Technologies 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, disability, or protected veteran status.