Machine Learning Engineer

Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse applications, while delivering innovative solutions under tight deadlines. The ideal candidate will possess expertise in Docker and containerization, with the ability to build and deploy ML models and tools in offline, standalone environments. Key Responsibilities Research and evaluate open-source ML models, fine-tuning them to meet specific operational needs Design and develop custom Python-based applications (desktop and web-based) for hosting ML models Experience with web-based platforms such as ComfyUI , Gradio , and Streamlit is preferred Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform signals to achieve desired outcomes Provide rapid responses to evolving operational requirements, executing agile development to deliver customized solutions Collaborate with a multidisciplinary team to address mission-critical objectives through innovative approaches Leverage data science techniques to evaluate datasets, identify trends, and inform decision-making Required Skills & Experience Proficiency in Docker for building and managing containers Strong knowledge of Python programming with a focus on ML application development Familiarity with DSP techniques and their practical application in signal transformation Experience developing and hosting ML models using both desktop and web-based interfaces Ability to work effectively in a fast-paced environment, responding to ad-hoc requests with innovative problem-solving Join our dynamic team to contribute cutting-edge ML solutions for high-impact projects. Your work will directly support critical mission operations in a challenging, fast-evolving environment. Qualifications Required Must be a US Citizen Must have an active TS/SCI with Poly clearance Bachelor's degree in computer science, math, data science or another technical/scientific field Expertise with Python ML Frameworks (pytorch, tensorflow, onnx) Model hosting frameworks (ComfyUI, steamlit, gradio, FastAPI) Data science libraries (Pandas, Numpy, SciKit-learn, Scipy, matplotlib/seaborn) App Dev Frameworks (PyQt, tkinter) Experience with Docker Familiarity with Linux Familiarity with Windows OS Experience with version control software (Git) Desired Audio hardware familiarity Audio engineering/digital processing (DSP) familiarity Kubernetes familiarity Rancher Longhorn ArgoCD Matlab C++ (Cython wrapper around C++ application) Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. #J-18808-Ljbffr Saic