A Senior ML Engineer with 10+ years of software development experience, including at least 3 years of hands-on ML Flow work. This role focuses on designing and implementing machine learning systems for advanced 3D point cloud analytics and document data extraction. All solutions will be built entirely within internal servers and networks, prioritizing security, data sovereignty, and on-prem infrastructure. Responsibilities Develop, test, and deploy ML pipelines for 3D point cloud processing (registration, filtering, segmentation, modeling) on local servers. Extract and classify data from documents using OCR and NLP within on-prem environments. Optimize performance for large data volumes with local GPU clusters and accelerated computing. Ensure robust integration with in-house IT systems and secure storage frameworks. Collaborate with multidisciplinary teams to continuously improve solutions. Tools & Technologies 3D Point Cloud : Open3D, PCL (C++), CloudCompare, MeshLab ML/DL Frameworks : PyTorch, TensorFlow (local machines or clusters) NLP/OCR : spaCy, Tesseract, OpenCV, local HuggingFace implementations Infrastructure : Docker, Git, local CI/CD, on-prem GPU infrastructure Languages : Python, C++ Additional Requirements Agentic AI framework experience is a plus Prior RTX or defense industry experience strongly preferred Ability to collaborate with engineers and customer teams (data architecture, data science, full stack, project delivery) Strong coding skills to build fully on-prem solutions (no cloud platforms) Proven ability to work under tight schedules with limited initial details Willingness to travel occasionally (<10%) for activities such as software bring-up and ML flow changes Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.