AI/ML Systems Architect
4 weeks ago
At 22nd Century Technologies Inc., we are seeking a highly skilled AI/ML Engineer to join our team.
Job SummaryWe are looking for a talented AI/ML Engineer to design and develop complex system architectures, lead a team of engineers, and engage with sponsors to understand and meet system requirements.
Key Responsibilities- Design and develop high-performance computing clusters, networks, chipsets, and GPUs based on available hardware.
- Lead a team of engineers responsible for system deployment and development of client algorithms and methodologies.
- Engage with sponsors to understand and meet system requirements and serve as the primary author on technical reports and proposals.
- Develop, implement, and apply machine learning algorithms and methods to support sponsor and internal research and development projects.
- 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).
- 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 lists.
- Research and evaluate cost-effective AI/ML solutions for DoD enterprise use cases.
10% - 25% travel.
Education and Length of Experience- 5 years of related experience with a Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Data Science, or related field.
- 3 years of related experience with a Master's degree in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Data Science, or related field.
- 0 years of related experience with a Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Data Science, or related field.
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