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# Machine Learning Engineer (TS/SCI)

- **Company:** Vantor Inc.
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $116,000.0 - $154,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Geographic Information Systems, Artificial Intelligence, Computer Vision, Big Data, C++ (Programming Language), Computer Programming, Continuous Integration, Data Mining, Python (Programming Language), Linux System Administration, Machine Learning, NumPy, Tensorflow, Software Engineering, TypeScript, Rust (Programming Language), Pytorch, Pandas, Matplotlib, Scikit Learn, Information Technology, Geospatial Data Abstraction Library (GDAL), Machine Learning Operations, Software Version Control, Devsecops, Docker, Golang
- **Published:** October 29, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88740303/1

## About the Role

We want a self-motivated engineer who is comfortable digging into data, trying innovative approaches, and isn't afraid to fail fast and move on to other techniques/ideas., * US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph).

 * 5+ years of programming experience with at least one general purpose programming language (Python, Typescript, Java, C/C++)
 * B.S. in Statistics, Math, Data Science, Computer Science, Engineering, Physics, or related field
 * Proficiency with the Python data science and AI/ML stack (e.g., pytorch, tensorflow, numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
 * Experience with data extraction, manipulation, visualization, and analysis of large datasets
 * Strong understanding of machine learning principles and model lifecycle management.
 * Strong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challenges

Preferred Qualifications:

 * Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously

 * Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.

 * Demonstrated experience in software development, including design, development, and implementation

 * Experience designing, developing, testing, and deploying a wide variety of AI/ML or CV models across diverse data types

 * Experience working with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environments

 * Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines

 * Proactive approach to trouble shooting and problem-solving issues

 * Proficiency in Linux-based environments

 * Proficiency in one multiparadigm programming language (Python, Java, Go, Rust, etc.)

#cjpost

#LI-RD

#LI-Onsite

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

## Description

* Contribute to multi-disciplinary AI/ML engineering teams to design, implement, and evaluate machine learning solutions that leverage multi-INT data
 * Contributes to the design, development, and implementation of Machine Learning Operations pipelines for continuous integration and deployment of computer vision models.
 * Collaborate with diverse teams of engineers, clients, and users
 * Develop analytics/derivative data products to help users extract meaningful knowledge
 * Implement best practices for version control, model reproducibility, and governance.