Data & ML Engineer
Core
Build the data and model layer for an AI-enabled decision-support system operating in an accredited government environment, focusing on ingestion, probabilistic record matching, relevance scoring, and grounded generation.
Role type
Senior Data & ML Engineer
Builds
AI decision-support systems for resilient optimization of complex systems
Domain
National security, defense, and government cloud environments
Deliverable
production ML models | product features (via careerplan.io/jobs/13628-data-amp-ml-engineer-at-red-cell-partners)
Required skills
Python, SQL, probabilistic matching, graph data modeling, model calibration, cost-sensitive learning, retrieval-augmented generation, pipeline orchestration
Preferred skills
Top Secret clearance, PostgreSQL/pgvector, graph algorithms, scikit-learn, XGBoost, PyTorch, AWS Glue, Airflow, dbt, Spark, Kafka, synthetic data generation, 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, transformation, and validation pipelines; generate synthetic data for development; document assumptions and limitations for formal review.
Seniority
Senior, hands-on IC
