TS/SCI ML Engineer for Geospatial AI & CV Pipelines

Vantor Holdings, Inc.; Herndon (VA); On-site; USD 165,000 - 215,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking a skilled ML/AI engineer to design and deploy CV pipelines for GEOINT applications in a mission-focused team. You will build processing, training, and inference components, plus data tools and synthetic data generation capabilities.

The role emphasizes production-ready ML deployments, scalability, and security in a US-based environment. The ideal candidate has a TS/SCI clearance (CI poly), 5+ years in programming with Python/Typescript/Java/C/C++, and hands-on experience with

Qualifications

• US citizenship and TS/SCI clearance with willingness to CI polygraph.
• 5+ years of programming in Python/Typescript/Java/C/C++.
• 2+ years leading design or architecture of systems.
• 2+ years in ML engineering, data or backend software roles.
• Hands-on ML training, fine-tuning, or adaptation with modern frameworks.
• Experience deploying ML models to production and building pipelines.

Responsibilities

• Design, develop, and deploy CV pipeline components including preprocessing and inference.
• Implement synthetic data generation using generative AI on GEOINT data.
• Transform data for AI/ML workflow stages via data engineering.
• Stay current with CV advances and apply to mission problems.
• Brief internal teams on progress, results, and challenges.

Skills

Python

Typescript

Java

C/C++

Design leadership

ML engineering

ML deployment

Security clearance

US citizenship

CI Polygraph

Cloud platforms

Kubernetes

Infrastructure as code

Education

Bachelor's degree in CS/EE/CE or equivalent

Tools

Kubernetes

CI/CD

Terraform

Job description

Vantor is seeking a skilled ML/AI engineer to design and deploy CV pipelines for GEOINT applications in a mission-focused team. You will build processing, training, and inference components, plus data tools and synthetic data generation capabilities.

The role emphasizes production-ready ML deployments, scalability, and security in a US-based environment. The ideal candidate has a TS/SCI clearance (CI poly), 5+ years in programming with Python/Typescript/Java/C/C++, and hands-on experience with