About this opportunity
Comtech LLC lists this AI/ML Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications. The AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive systems. The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments. The AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systems. The AI/ML Engineer has familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learning. When conducting research, the AI/ML Engineer leverages the most recent advances in statistical analysis of large data sets to advance state-of-the-art automated sensor and data processing for a broad range of intelligent and sensor-enabled systems.
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
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
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.
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.