AI/ML Engineer
On-siteBoston, Massachusetts, United States
Job Summary
Design complex system architectures for high-performance computing clusters and networks based on available hardware, then lead a team of engineers responsible for system deployment. Develop novel algorithms and methodologies to support sponsor and internal research and development projects, while writing parallel processing programs to deploy ML models into complex systems. Engage with sponsors to understand and meet system requirements, and serve as the primary author on technical reports and proposals. Research and evaluate AI models, conduct validations, and manage AI projects aligned with industry best practices. Contribute to research reports, white papers, and competitive proposals, providing technical analysis on vendor products and market research insights. Share expertise on emerging AI trends through presentations and literature summaries, and research cost-effective AI/ML solutions for enterprise use cases.
Required Qualifications
- 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)
Desired Qualifications
- Active Secret Clearance
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