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# Machine Learning Engineer

- **Company:** Science Applications International Corporation
- **Location:** Chantilly, VA, United States
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, Agile Methodology, Python (Programming Language), Machine Learning, Open Source Technology, Web Platforms, Data Analytics, Streamlit Framework, Docker
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/machine-learning-engineer-chantilly-va-usa-58846877

## About the Role

aaan_ mission-critical objectives * Use data science techniques to analyze datasets, identify trends, and inform decisions Tasks * Proficiency in Docker for building and managing containers * Strong Python ML development skills * Familiarity with DSP techniques for signal transformation * Experience developing and hosting ML models via desktop and web interfaces * Ability to work in a fast-paced environment with innovative problem solving Key requirements *

## Description

Experteer Overview In this role you will design, develop, and deploy ML models for mission-critical applications at SAIC, leveraging containerization with Docker for offline environments and applying DSP techniques to transform signals. You will build Python-based desktop and web tools to host ML models and collaborate with a multidisciplinary team to deliver innovative solutions under tight timelines. This is a fast-paced, impact-driven opportunity to support critical operations and shape advanced ML deployments. Compensation / Benefits * Research and evaluate open-source ML models and fine-tune them for operational needs * Design and develop custom Python-based applications (desktop and web) to host ML models * Leverage web platforms (ComfyUI, Gradio, Streamlit) to host or demo models (preferred) * Apply DSP to build signal transformation chains for desired outcomes * Respond rapidly to evolving requirements with agile development * Collaborate with a multidisciplinary team to address mission-critical objectives * Use data science techniques to analyze datasets, identify trends, and inform decisions Tasks * Proficiency in Docker for building and managing containers * Strong Python ML development skills * Familiarity with DSP techniques for signal transformation * Experience developing and hosting ML models via desktop and web interfaces * Ability to work in a fast-paced environment with innovative problem solving Key requirements *


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