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Vantor · 1 day ago

Senior AI/ML Engineer (TS/SCI)

Herndon, VA

Full-time

Hybrid

Senior Level, Lead/Staff

$130K/yr - $200K/yr

8+ years exp

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. They are seeking a Senior AI/ML Solutions Engineer to support mission-driven users working on complex national security challenges by applying AI/ML and data science to real-world problems.

Software

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

AI/ML expertiseLarge Language ModelsMachine Learning frameworksPythonData ScienceStatistical techniquesDeep LearningLinux environmentsCollaboration skillsCommunication skillsAdaptable mindset

Required

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 (TensorFlow, PyTorch, scikit-learn) and tools for model development and operationalization (Jupyter, MLflow, AWS SageMaker) 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

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