Key Responsibilities
- Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets, GPUs) based on available hardware (e.g., embedded systems, cloud, on-premise, etc.)
- Lead a team of engineers responsible for system deployment
- Develop novel algorithms and methodologies
- Engage with sponsors to understand and meet system requirements
- Serve as the primary author on technical reports and proposals
Additional Responsibilities
- Develop, implement, and apply machine learning algorithms and methods to support sponsor and internal research and development projects
- Contribute to research reports, white papers, and competitive proposals
Required Minimum Qualifications
- Bachelors Degree in Science, Technology, Engineering, or Math and 5+ years of professional experience.
- 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.
Compensation:
$70/hr to $90/hr, converting permanent between 140-200K, depending on level of education and experience.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.