AI/ML Engineer

Waypoint Human Capital; Dayton (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Waypoint Human Capital is seeking an experienced AI/ML Engineer to support NASIC. You will design, develop, test, and deliver AI/ML components to advance the IC’s ability to characterize complex threats with speed and accuracy in government cloud environments.

Responsibilities include integrating analytic tools, building scalable ML pipelines, and ensuring DoW/compliance standards. A TS/SCI eligible clearance, a relevant degree, and hands-on experience with TensorFlow, PyTorch, or Scikit-learn

Qualifications

• Bachelor’s degree in CS, Data Science, AI, or related field.
• U.S. Citizenship with ability to obtain TS/SCI clearance.
• 3+ years of direct AI/ML experience.
• Proven experience designing, developing and deploying AI/ML solutions.
• Experience with scalable cloud-native apps and event-driven architecture.
• Proficiency with TensorFlow, PyTorch or Scikit-learn.
• Experience with Kubernetes-based platforms and CI/CD pipelines.
• Experience collaborating with multidisciplinary teams and customer engagements.

Responsibilities

• Integrate modernized analytic tools into AI/ML capabilities.
• Develop user-friendly interfaces for AI/ML tools.
• Incorporate monitoring services, including model drift detection and demand tracking.

Skills

AI/ML development

Model deployment

Team collaboration

Security/compliance

Education

Bachelor's degree in Computer Science / Data Science / AI

Tools

TensorFlow

PyTorch

Scikit-learn

Kubernetes

CI/CD

Job description

Position Title:

AI/ML Engineer

Position Type:

Full-Time

Location:

Dayton, OH

Clearance:

TS/SCI Eligible

Waypoint’s client 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.

Responsibilities:

• 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.

• 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.

• 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.

• 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.

Required:

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• U.S Citizenship with the ability to obtain and maintain a 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.

Desired:

• Kubernetes certifications (CKA, CKAD).
• Active TS/SCI.