Remote Data & ML Engineer for Resilient Defense AI

DEFCON AI, Inc.; Northern (KY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Fully remote work

Health insurance

Unlimited PTO

Parental leave

Job summary

DEFCON AI, Inc. seeks a Data & ML Engineer to build the data and model layer for an AI-enabled decision-support system. You’ll ingest data from multiple sources, resolve records to a shared model, compute relevance scores, and generate explanations with sources.

Responsibilities span data modeling, scoring, retrieval, and secure pipelines in a government-cloud environment. The role requires 5+ years in data/ML engineering, strong Python/SQL, and an active US Secret clearance.

Qualifications

• 5+ years in data engineering, data architecture, ML engineering, or production analytics.
• Strong Python and SQL, with large, imperfect operational data experience.
• Experience delivering systems for sustained operational use.
• Ability to explain technical decisions to non-technical stakeholders.
• Active US Secret clearance required for work in a controlled government cloud.

Responsibilities

• Design and maintain a graph of entities, records, and relationships.
• Implement probabilistic matching, blocking, scoring, and clustering.
• Develop relevance models and calibration, with abstention routing.
• Implement embeddings, vector storage, and retrieval across sources.
• Build secure ingestion, validation, and publishing pipelines; audit logging.

Skills

Data engineering

Data architecture

Applied machine learning

ML engineering

Production analytics

Python

SQL

US Secret clearance

Communication of decisions

Travel readiness

Tools

PostgreSQL

pgvector

Graph algorithms

scikit-learn

XGBoost

PyTorch

Docker

Airflow

Job description

DEFCON AI, Inc. seeks a Data & ML Engineer to build the data and model layer for an AI-enabled decision-support system. You’ll ingest data from multiple sources, resolve records to a shared model, compute relevance scores, and generate explanations with sources.

Responsibilities span data modeling, scoring, retrieval, and secure pipelines in a government-cloud environment. The role requires 5+ years in data/ML engineering, strong Python/SQL, and an active US Secret clearance.