AI/Machine Learning Engineer

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems.

Our vision is to be a health IT trendsetter, continuing to solve the nation’s most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions.

Our mission is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service.

IGS is currently pipelining for a remote AI/Machine Learning Engineer to support our work within the federal healthcare industry. Candidates will be contacted as opportunities become available for further consideration.

Assignment of Work and Travel:

This is a remote access assignment. The Candidate will work remotely daily and will remotely access VA systems and therein use approved VA provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested.

The AI/Machine Learning Engineer will work alongside a team of highly skilled developers and engineers in the development of AI applications. A motivated and qualified candidate will not only have hands-on development experience in (JavaScript, Python or Java) but also a willingness to collaborate with teams to solve problems. Together we’re accelerating our client’s digital transformation through the building and deployment of data-driven, scalable AI solutions.

Responsibilities and Duties (Included but not limited to):

• Design, develop, and deploy machine learning and deep learning models to support clinical decision-making, predictive analytics, and health outcomes research.
• Fine-tune models for high performance using healthcare-specific data, including EHRs, claims, imaging, and structured/unstructured text.
• Collaborate with data engineers to clean, preprocess, and normalize healthcare data in compliance with federal data standards (e.g., HL7, FHIR).
• Build scalable ML pipelines that integrate with federal data platforms and cloud services (e.g., VA’s Lighthouse API, Azure Government, AWS GovCloud).
• Ensure AI/ML solutions meet federal regulations, including HIPAA, FISMA, FedRAMP, and VA Information Security requirements.
• Implement differential privacy, encryption, and access controls to safeguard sensitive health data.
• Contribute to the development of governance frameworks to ensure transparent, explainable, and bias-mitigated models.
• Document model lifecycle, from training to deployment, including risk assessments, validation reports, and audit trails.
• Work cross-functionally with program managers, clinicians, data scientists, and software developers to identify opportunities for AI/ML applications that improve healthcare delivery and veteran outcomes.
• Present complex machine learning findings in a way that is actionable and aligned with federal healthcare program goals.
• Stay updated on the latest developments in AI/ML applications for public health and healthcare operations.
• Prototype and test emerging AI technologies (e.g., NLP for clinical text, computer vision for imaging diagnostics) for possible integration into government systems.
• Monitor deployed models for drift, accuracy, and operational effectiveness over time.
• Maintain model retraining schedules based on new data inputs or policy changes.
• Prepare comprehensive documentation and reports for internal stakeholders and external oversight (e.g., OMB, GAO, IG audits).
• Develop dashboards and visualizations to track performance metrics, patient outcomes, and utilization trends impacted by AI/ML tools.