Machine Learning Engineer

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 *

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 *