Overview
On Site
Full Time
Contract - W2
Contract - 3 Month(s)
Skills
Python
tensorflow
NLP
PyTorch
3D Data
Open 3D
Job Details
Job Title: ML Architect/ML Engineer/ Machine Learning Engineer
Location: Hartford, CT -Fully Remote
Duration: 3 Months CTH
A Senior ML Engineer (more 10 years of experience in software development of which last 3 years have done ML flow hands-on) for an on-premises solution. He/She will design and implement machine learning systems for advanced 3D point cloud analytics and document data extraction. This role prioritizes local infrastructure, high security, and data sovereignty, building solutions entirely within internal servers and networks.
Job Description
- Develop, test, and deploy ML pipelines for 3D point cloud processing, including registration, filtering, segmentation, and modeling on local servers.
- Extract and classify data from documents using OCR and NLP, all using solutions that are within on-prem environments.
- Optimize performance for large data volumes leveraging local GPU clusters and accelerated computing.
- Ensure robust integration with in-house IT systems and secure storage frameworks.
- Collaborate with multidisciplinary teams for continuous solution improvement.
On-Prem Tools & Technologies
- 3D Point Cloud: Open3D, PCL (C++), CloudCompare, MeshLab.
- ML/DL Frameworks: PyTorch, TensorFlow (on local machines or clusters).
- NLP/OCR: spaCy, Tesseract, OpenCV, local implementations of HuggingFace models.
- Infrastructure: Docker, Git, local CI/CD, on-prem GPU infrastructure.
- Must have - Continuous development using Programming languages - Python, C++.
Additional Needs:
- Agentic AI framework experience is a plus
- Previous work experience in RTX or defense would be extremely helpful
- Collaboratively work with multiple engineers and customer architecture teams - Data architecture, Data scientists, full stack and project team to deliver to the project outcomes
- Must have coding skills to handle on-prem - All solutions are expected to be hosted, processed, and secured entirely within the organization s physical premises, not in cloud platforms.
- Must have proven track record of working under exigent schedules, with less details present at the start of the project
- Some travel to the customer may be required (< 10% of time) for multiple needs - software bring up, ML flow changes and so on.
- To meet the template except in extreme situations approved by the client leadership.
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.