Black Canyon Consulting
AI/Machine Learning Specialist
About this role
Black Canyon Consulting seeks an experienced AI/Machine Learning Specialist to design and deploy ethical, compliant AI/ML models supporting DoD mission objectives. The role involves developing prototypes, establishing governance frameworks, and collaborating with DoD leadership on AI ethics and risk management.
What you'll do
- Design AI/ML prototypes and prompt engineering libraries aligned with DoD AI Ethics Principles
- Implement data pipelines and model governance controls
- Collaborate with DoD CIO on AI ethics alignment and RMF AI risk management
- Ensure ethical and compliant use of AI/ML solutions
- Support DoD quality programs and standards
What they're looking for
- AI and machine learning solution development
- Python programming
- TensorFlow or PyTorch
- Data pipeline implementation
- AI ethics frameworks and principles
- Controlled Unclassified Information (CUI) handling
- Model governance and risk management
Benefits
- Medical, dental, and vision coverage
- 401(k) plan with employer contribution
- Paid holidays and vacation
- Tuition and conference reimbursement
- Competitive salary ($135,000 - $205,000)
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Black Canyon Consulting
Black Canyon Consulting provides security, infrastructure, and modernization services for high-traffic biomedical research platforms, particularly supporting the National Center for Biotechnology Information (NCBI) at the National Institutes of Health. The company is hiring for security engineers, DevSecOps specialists, full-stack developers, QA engineers, and platform engineers to build resilient, compliant systems serving millions of users across hybrid cloud and on-premises environments.
View all jobs at Black Canyon ConsultingLikely interview questions
- Can you walk us through a specific AI/ML prototype you designed end-to-end, including how you approached model selection and validation?
- Describe your experience implementing data pipelines. What tools and frameworks have you used, and how did you ensure data quality and governance?