Capability Lifecycle AI/ML Engineer

Ironclad Defense Works • Norfolk, VA

19h • $99,000 - $149,000 • Onsite

About The Position

Support CAPDEV’s Data and Analytics Office by developing and operationalizing AI/ML solutions for capability lifecycle planning, forecasting, risk identification, and decision support. You will design, deploy, and maintain models and pipelines in governed environments, integrate outputs into analytics workflows, and collaborate with analysts and engineers to deliver production-ready solutions.

Requirements

• 8+ years of professional experience in data science/advanced analytics and/or ML engineering.
• Expertise in statistical modeling and ML (development, validation, deployment) for decision support use cases.
• Experience building automated data pipelines and feature engineering workflows.
• Experience deploying models/pipelines on cloud-based analytics or AI/ML platforms.
• Bachelor’s degree in a quantitative/technical discipline (e.g., CS, Math, Engineering, Statistics).
• Experience working within governed/regulatory environments (data governance, security, compliance).
• English proficiency equivalent to STANAG 6001 SLP 3333; strong communication skills for technical and non-technical audiences.
• Citizen of a NATO member nation; demonstrated minimum NATO/National SECRET clearance (or higher) for the contract duration.

Nice To Haves

• Experience integrating ML into BI/reporting platforms used by senior decision makers.
• Experience with MLOps tooling (model registry, CI/CD for ML, monitoring).
• Experience in defence/security analytics and capability lifecycle contexts.

Responsibilities

• Design, develop, train, validate, and deploy AI/ML models for forecasting and decision support.
• Integrate AI/ML outputs into enterprise analytics workflows, dashboards, and reporting.
• Build and maintain data preparation and feature engineering pipelines (ETL/ELT).
• Implement and operate AI/ML solutions in secure, scalable cloud environments.
• Manage model lifecycle (monitoring, retraining, version control, documentation).
• Apply responsible and explainable AI practices and support compliance/governance requirements.
• Produce clear technical documentation and deliver knowledge transfer to customer teams.
• Engage stakeholders to translate requirements into usable analytic products.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level