Data Engineer, ML

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Defcon AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🚗 Transport

📦 Logistics

Artificial Intelligence • Transport • Logistics

Defcon AI is a company focused on transforming logistics and supply chain operations using AI-driven technologies. The company addresses disruptions caused by natural disasters, unanticipated events, and opponents through sophisticated software modeling and intelligent agents. Defcon AI aims to integrate next-generation technologies within logistics and decision-making processes to improve response planning in complex and contested environments. Positioned at the convergence of AI, mobility, and logistics, Defcon AI collaborates with partners to provide efficient, reliable, and data-driven solutions tailored to specific needs. The company is committed to enhancing resilience and efficiency in the logistics sector.

📋 Description

• Build the data and model layer behind an AI-enabled decision-support system in an accredited environment • Design and maintain graphs of entities, records, and typed relationships • Implement probabilistic matching, blocking, candidate generation, pairwise scoring, clustering, threshold policies, deduplication, and known-record suppression • Establish provenance so every node and edge traces to its asserting source • Develop relevance and priority models, calibration, threshold design, abstention policies, feature engineering, baselines, and error analysis • Implement embeddings, vector storage, retrieval, managed language-model integrations, self-hosted or open-weight alternatives, prompts, and output schemas • Bind generated text to cited source records and maintain model packaging, serving, versioning, and rollback • Build secure ingestion, transformation, validation, and publishing across structured, semi-structured, and unstructured sources • Implement quality checks, schema validation, lineage capture, audit logging, and source-drift detection • Generate statistically representative synthetic data for development before live data access • Work to the Data Lead’s data model and standards and support customer review • Document assumptions, caveats, transformation logic, and known limitations • Instrument telemetry, maintain audit trails, and submit changes through a gated release process • Deliver explainable matching decisions, characterized model miss rates, grounded explanations, traceable pipelines, and consistent development progress

🎯 Requirements

• 5+ years of experience in data engineering, data architecture, applied machine learning, ML engineering, or production analytics engineering • Strong Python and SQL skills with large, imperfect operational data • Experience delivering systems for sustained operational use, not exploratory analysis alone • Routine use of AI-assisted development with judgment about verification • Ability to explain technical decisions to stakeholders who must defend them • US Citizenship Required • Active US Secret clearance • Favorable investigation and CAC eligibility from the start • Elevated personnel security requirements apply to portions of the work • Willingness to travel up to 25% to customer sites, DEFCON AI HQ, and vendor facilities • Preferred: active Top Secret clearance • Preferred experience with probabilistic matching, record linkage, master data management, identity management, graph data modeling, PostgreSQL, pgvector, graph algorithms, model calibration, threshold design, cost-sensitive learning, scikit-learn, XGBoost, PyTorch, retrieval-augmented generation, prompt and output-schema design, self-hosted or open-weight models, fine-tuning, adapters, custom embeddings, AWS Glue, Airflow, dbt, Spark, Kafka, NiFi, document ingestion, synthetic test data, federal DevSecOps, RMF, ATO, DoW cloud environments, hardened base images, accreditation and deployment, sensitive federal or defense data, model cards, fairness testing, model monitoring, and NIST AI RMF

🏖️ Benefits

• A fully remote, results-based environment • Competitive salary, bonus, and equity package • 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family • Unlimited PTO, with your manager’s approval • Flexible work environment where you manage your work day • 14 weeks of fully-paid parental leave