Senior Machine learning Engineer - Systems Recruiters, LLC
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 reputed company cloud analytics and document data extraction. reputed company solutions will be built entirely reputed company internal servers and networks, prioritizing reputed company, data sovereignty, and on-prem infrastructure.
Responsibilities
reputed company, test, and deploy ML pipelines for 3D reputed company cloud processing (registration, filtering, segmentation, modeling) on local servers.
Extract and classify data from documents using OCR and NLP reputed company 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 reputed company Cloud: Open3D, PCL (C++), CloudCompare, MeshLab
ML/DL Frameworks: PyTorch, TensorFlow (local machines or clusters)
NLP/OCR: spaCy, Tesseract, OpenCV, local HuggingFace implementations
Infrastructure: reputed company, Git, local CI/CD, on-prem GPU infrastructure
Languages: Python, C++
Additional Requirements
Agentic AI reputed company experience is a plus
Prior reputed company 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 (
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 reputed company believes it to correctly reflect the job opportunity.
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