Data & ML Engineer
Core
Build the data and model layer for an AI-enabled decision-support system operating in an accredited government cloud environment, focusing on ingestion, probabilistic record matching, relevance scoring, and grounded text generation.
Role type
Senior IC Data & ML Engineer
Builds
AI decision-support systems for resilient optimization of complex systems
Domain
National security / Defense / Government cloud
Deliverable
production ML models
Required skills
Python, SQL, probabilistic matching, graph data modeling, model calibration, cost-sensitive learning, RAG, pipeline orchestration, data lineage tracking
Preferred skills
PostgreSQL, pgvector, scikit-learn, XGBoost, PyTorch, AWS Glue, Airflow, dbt, Spark, Kafka, NiFi, federal DevSecOps
Technologies
Python, SQL, PostgreSQL, pgvector, scikit-learn, XGBoost, PyTorch, AWS Glue, Airflow, dbt, Spark, Kafka, NiFi
Responsibilities
Design and maintain entity graphs and typed relationships; implement probabilistic matching, blocking, and clustering; develop relevance and priority models with calibration; implement embeddings, vector storage, and retrieval; build secure ingestion and transformation pipelines; generate synthetic data; document data models and transformation logic.
Seniority
Senior, hands-on IC
