Capability Lifecycle AI/ML Engineer at HUBZone Headquarters Inc – Norfolk, Virginia

Capability Lifecycle AI/ML Engineer
Location: Norfolk, VA (On-site at NATO HQ SACT)
Employment Type: Full-time, contractor support (contingent upon contract award & customer approval)
Security Clearance: Active/eligible for NATO or National SECRET (or higher)
Openings: 1 opening
Target Base Salary Range: $99,000 - $149,000
Travel: Occasional mission travel as required; valid NATO nation passport with no travel restrictions.
Role Overview
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.
Key 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.

Required Qualifications

• 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.

Preferred / Nice-to-Have

• 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.

How to Apply
Email your resume to jobs@idw.inc with the subject line: "RFP-ACT-SACT-26-02 – LC42 – Capability Lifecycle AI/ML Engineer" or respond to this job posting via the included web application.

Ironclad Defense Works is an Equal Opportunity Employer.