Machine Learning Engineer
DescriptionSAIC is seeking a skilledMachine Learning Engineerto 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 inDockerand 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 asComfyUI,Gradio, andStreamlitis preferred.Apply a solid understanding ofdigital 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 inDockerfor 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.QualificationsREQUIRED:Must be a US CitizenMust have an active TS/SCI with Poly clearanceBachelor's degree in computer science, math, data science or another technical/scientific field.Expertise with PythonML 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 DockerFamiliarity with LinuxFamiliarity with Windows OSExperience with version control software (Git)DESIRED:Audio hardware familiarityAudio engineering/digital processing (DSP) familiarityKubernetes familiarityRancherLonghornArgoCDMatlabC++ (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.REQNUMBER: 2615287SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability