AI/ML Engineer

Comtech International Limited - Boston, MA

Full-time - Mid Level

Boston, MA

Professional, Scientific, and Technical Services

About the position

The AI/ML Engineer is responsible for developing AI/ML algorithms and infrastructures to support the deployment of AI/ML applications. This role involves researching mathematical foundations for nonlinear systems and developing technical solutions in areas such as Artificial Intelligence, Machine Learning, and advanced data processing. The engineer will also write parallel processing programs to deploy ML models and leverage recent advances in statistical analysis for intelligent systems.

Responsibilities

• Design complex system architectures based on available hardware.
• 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.
• Develop, implement, and apply machine learning algorithms and methods to support research and development projects.
• Contribute to research reports, white papers, and competitive proposals.

Requirements

• 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 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, Google Cloud Platform).

Nice-to-haves

• Research and evaluate AI models, conduct validations, and manage AI projects.
• Provide feedback and consultation on technical analysis of vendor products and academic insights.
• Conduct market research and participate in vendor demos to provide technical analysis on vendor products.
• Share expertise on emerging trends in AI advancement through presentations and literature summaries.
• Research and evaluate cost-effective AI/ML solutions for DoD enterprise use cases.