Experience with machine learning tools such as Tensorflow, PyTorch, and Scikit-learn
Experience in the applied Artificial Intelligence and Machine Learning (AI/ML) domain particularly in the area of Machine Learning Operations (MLOps)
Familiarity with software development and collaboration tools such as GitLab and Atlassian (Confluence, Jira, Bitbucket)
Knowledge and experience working with cloud computing platforms (e.g., Azure, AWS, GCP)
Preferred Qualifications
Active Secret Clearance
Research and evaluate AI models, conduct validations, manage AI projects, and align with industry data quality and machine learning best-practices
Provide feedback, input, and consultation on various artifacts, including technical analysis of vendor products, academic insights, inputs to the DoD Enterprise AI strategy and technical documentation
Provide technical analysis on vendor products through market research and participation in vendor demos, offering insights into their capabilities
Share expertise and keep teams informed about emerging trends on AI advancement through presentation, literature summaries, or curated resource list
Research and evaluate cost-effective AI/ML solutions for DoD enterprise use cases.