About the job
Strategic Growth Partners (SGP) is a leading provider of operational and strategic support services to Tribal 8(a) and commercial enterprises. Our esteemed client is an ISO-certified international Information Technology consulting and engineering services firm dedicated to assisting both public and private sector clients in overcoming their most significant IT and business obstacles.
We are currently seeking a talented Contractor Support AI/ML Engineer to contribute to an upcoming NATO ACT program based in Norfolk, VA. This role offers an exceptional opportunity to engage with an international organization renowned for delivering information systems, technology solutions, outsourcing, and application development services to government and non-government entities.
Working Location: Onsite in Norfolk, VA.
Employment Type: 1099, B2B Contract
Compensation: $48-72/hr USD
Language Requirement: High proficiency in English
Security Clearance: NATO Secret required
Key Responsibilities:
- AI/ML Model Development: Design, develop, train, and deploy machine learning models to enhance forecasting, risk identification, readiness assessment, and decision support across the capability lifecycle.
- Advanced Analytics Integration: Seamlessly integrate AI/ML models into enterprise analytics workflows, dashboards, and reporting tools to facilitate operational usage by analysts and decision-makers.
- Data Preparation and Feature Engineering: Collaborate with data engineering teams to develop and maintain data preparation pipelines, feature engineering processes, and training datasets to guarantee model accuracy and reliability.
- Cloud-Based AI/ML Engineering: Implement and manage AI/ML solutions within secure cloud environments, overseeing model training, deployment, and orchestration within scalable architectures.
- Model Lifecycle Management: Establish and maintain validation, performance monitoring, retraining, and version control processes to uphold the accuracy and relevance of deployed models.
- Responsible AI Practices: Uphold responsible and explainable AI principles, ensuring transparency, bias awareness, and interpretability suitable for defense and decision-support contexts.
- Automation and Optimization: Identify and execute opportunities for automating analytic workflows, model execution, and data processing to enhance efficiency and minimize manual tasks.

