AI/ML Engineer

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 Certifications

• 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.

Our growth is creating great opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Thanks for your interest in working on our team!!

Employee Ownership

• Radiance is a proud employee-owned company!
• Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn’t have to answer to stockholders or be driven by quarterly earnings reports.
• Thus, Radiance will always prioritize enhancing our customer’s mission over expanding our bottom line.
• We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements.
• This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions.
• Employee-ownership also provides tangible and long-term financial security for our people and their families.
• Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security.

Our Culture

Radiance’s culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation’s toughest technical challenges. We believe building trust and credibility with our customers leads to long-term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners.

Our Values

Radiance’s values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources. Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity. We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.