Machine Learning Contract Remote Jobs (NOW HIRING)

Job Summary:
Initiate Government Solutions (IGS) is a fully remote IT services provider focused on delivering innovative solutions in the federal sector. They are seeking an AI/Machine Learning Engineer to support the development of AI applications in the federal healthcare industry, working collaboratively with a team to accelerate digital transformation through scalable AI solutions.
Responsibilities:
• 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.
Qualifications:
Required:
• Bachelor’s degree or higher in one of the following disciplines, Computer Science, Data Science, Artificial Intelligence / Machine Learning, Mathematics / Statistics, Biomedical Engineering, Health Informatics, Electrical or Computer Engineering
• 4+ years of experience in software and machine learning engineering.
• Strong knowledge of natural language processing (NLP) and transformer models.
• 5+ years proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
• Proven experience building scalable, cloud-based AI/ML solutions and enhancing custom question answering mapping/workflows.
• Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
• Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
• Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
• Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
• Passion for developing team-oriented solutions to complex engineering problems
• Excellent communication skills and attention to detail
• Analytical mind and problem-solving aptitude
• Ability to obtain and maintain a Public Trust
• Strong organizational skills
Preferred:
• Master’s degree in one of the above-mentioned fields
• Preferred Tools & Environments: Python, R, TensorFlow, PyTorch, Scikit-learn, AWS (SageMaker), Azure ML, Databricks, Apache Spark, Power BI, Tableau, Plotly, Git, GitHub/GitLab
• Active VA Public Trust
• Prior experience supporting a VA program
• Prior, successful experience working in a remote environment
Company:
IGS is a solutions provider, partnering with the Federal Government to tackle the most challenging issues, including interoperability, data analytics, business/clinical applications and operations, and program/project management. Founded in 2007, the company is headquartered in West Palm Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.