Senior AI​/ML Engineer; TS​/SCI

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person
, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

We’re seeking a Senior AI/ML Solutions Engineer to support mission-driven users working on complex national security challenges. In this agile environment, you’ll be part of a small, multi-disciplinary team applying AI/ML and data science to real-world problems and apply them into operations. This role offers direct collaboration with end users and technologists to ensure solutions are impactful, scalable, and mission-aligned.

Responsibilities:

• Design, develop, integrate and deploy AI-driven solutions to extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AL, and/or Natural Language Processing (NLP)

• Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition

• Collaborate with analysts, engineers, and mission partners to understand requirements and translate them into robust, data-driven solutions

• Communicate results and technical concepts through effective visualizations, dashboards, and clear reporting to both technical and non-technical audiences

Minimum Qualifications:

• U.S. citizen with active TS/SCI clearance and polygraph; willing to work onsite 80% or as mission needs dictate.
• Bachelor’s or advanced degree (or equivalent experience) in AI/ML, Data Science, Math, or related technical field.
• 8+ years of experience in data science, AI/ML, large language models (LLMs), and emerging technologies, including solution architecture, model development, and deployment in complex environments.
• Proficient in Python, R, and/or Java for machine learning, data processing, and algorithm development; experienced in building robust, scalable solutions for operational deployment.
• Hands-on experience with machine learning frameworks (Tensor Flow, PyTorch, scikit-learn) and tools for model development and operationalization (Jupyter, MLflow, AWS Sage Maker) in production environments.
• Experienced working in Linux-based and hybrid cloud/on-prem infrastructures, deploying and maintaining AI/ML solutions in secure, production-grade environments; strong collaboration and communication skills with distributed teams and stakeholders.

Preferred Qualifications:

• Understanding of commercial and custom AI ML methods, statistical and analytical concepts such as uncertainty modeling, spatial analytics, model evaluation, correlation analysis, and data visualization.
• Adaptable, solution-oriented mindset with the ability to work independently in fast-paced, dynamic environments
• Experience working in virtualized Linux environments on secure government infrastructure
• Background in military or intelligence analysis, or familiarity with IC PED systems, is a strong plus

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates…