AI/ML Engineer

AI/ML Engineer Atlanta, GA (On-site) Contract-2-Hire Job Purpose 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 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. J-18808-Ljbffr