Latitude IT Solutions | SDVOSB is an SBA-certified Service-Disabled Veteran-Owned Small Business serving business and government organizations with user-focused IT solutions. Founded in 2021, the company combines consulting expertise with modern technologies and delivery methods to improve operational efficiency, streamline business processes, and support mission-driven initiatives. Its work emphasizes adaptable architectures that can integrate with existing environments and evolve as organizational needs change, creating opportunities for professionals interested in business-to-business, consulting, and government technology projects.
Senior AI/ML Engineer – Federal Health Logistics (Remote, United States)
Lead production AI and machine-learning solutions for federal health supply-chain and logistics systems. Own model development, deployment, monitoring, and communication with operational stakeholders.
United States$195,000 – $208,000 / year
RemoteFull-timeSeniorEnglish RequiredMachine Learning EngineerDescription
- Apply machine learning to supply-chain and logistics systems supporting a federal health customer.
- Guide mission problems from initial framing through production model deployment.
- Assess which operational challenges are appropriate for modeling.
- Lead the analytical strategy from definition through delivery.
- Convert operational needs into complete analytical solutions.
- Build, train, and assess models for forecasting, classification, and natural-language applications.
- Manage the transition from experimentation to production, including retraining, monitoring, and drift detection.
- Partner with data engineers on data collection, cleansing, and integration.
- Explain model findings, limitations, and uncertainty to decision-making stakeholders.
Requirements
- Master’s degree and at least 18 years of experience in analytics, data science, or machine learning.
- Production experience with TensorFlow, PyTorch, or Keras, including GPU-accelerated training.
- Proven ownership of models from problem definition through deployment and monitoring.
- Experience building scalable data pipelines for model storage and retrieval.
- Experience deploying models in government-controlled environments rather than public AI services, including delivering model weights and meeting federal bias-evaluation and documentation requirements.
- Experience validating model performance and explaining uncertainty to non-technical audiences.
- Ability to obtain and maintain a federal Public Trust background investigation.
- U.S. citizenship is required for consideration.
- Must have physically lived in the United States for at least three years to meet background-investigation requirements.
- Preferred: Experience supporting federal health IT programs.
- Preferred: Time-series forecasting for inventory, demand, or logistics applications.
- Preferred: Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, or equivalent.
- Preferred: Natural-language processing applied to operational or clinical text.
- Preferred: Experience with government cloud regions, including AWS GovCloud or Azure Government.
- Preferred: Experience with SAFe at scale, including Program Increment planning.
- Preferred: Familiarity with federal IT governance and approved-tooling processes.
Benefits
- Medical, vision, and dental coverage
- Paid vacation and sick leave
- Paid federal holidays
- 401(k) retirement plan with 100% company matching
- Employer-paid life insurance
- Continuing education assistance
- Employee Assistance Program (EAP)
- Commuter benefits program
- Health Savings Account (HSA)
- Remote work-from-home culture
- Healthy work-life balance