3D POINT CLOUD ML ARCHITECT/DEVELOPERS

T+S

Role is remote, with minimal travel (<10%) to CT offices. This is not mandatory and only required if client requires it.

LinkedIn must be created before 2023

1. NEED PERSONAL EMAIL & PERSONAL PHN NO.

2. Atleat 2 online account associated with this email without counting Gmail and Linkedin.(Like facebook, netflix and more)

3. LINKED MUST BE CREATED BEFORE 2023

4.Names associated with this email address partially the same.

5.Phone number is associated with a traditional phone carrier.

6. At least one similar name associated with this phone number.

7 The email should old enough to have any public record.

Skills (ADVANCED/EXPERT):

3D Point Cloud ML Architect/Developer
Agentic AI framework
ML Engineering
3D point cloud data extraction

Questions (Must answer YES to ALL but #6)

1. Are you located in or able to travel to Hartford, CT if needed?
2. Are you an expert in 3D point cloud data extraction?
3. Are you a hands on developer with multiple skills in ML Engineering?
4. Do you have Agentic AI framework experience?
5. Are you a ?
6. Do you carry in addition to ship other country citizenships?

Description:

A Senior ML Engineer (>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.
Short 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:
1.2. Agentic AI framework experience is a plus
3. Previous work experience in defense would be extremely helpful
4. Collaboratively work with multiple engineers and customer architecture teams - Data architecture, Data scientists, full stack and project team to deliver to the project outcomes
5. 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.
6. Must have proven track record of working under exigent schedules, with less details present at the start of the project
7. Some travel to the customer may be required (<10% of time) for multiple needs - software bring up, ML flow changes and so on.