Remote Data & ML Engineer for Secure AI Systems

Red Cell Partners; United States; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Remote work

Bonus

Equity

Health insurance

Unlimited PTO

Parental leave 14 weeks

401K option

Job summary

Red Cell Partners is seeking a Data & ML Engineer to build the data and model layer behind an AI-enabled decision-support system in an accredited environment. This fully remote role involves ingestion from multiple sources, resolving records against a shared data model, and producing explanations with traceable provenance.

Expect 25% travel to DEFCON AI HQ and customer sites. You will work on record matching, calibrated scoring, and grounded generation, with an established platform for source

Qualifications

• 5+ years of experience in data engineering, data architecture, applied ML/ML engineering, or production analytics engineering.
• Strong Python and SQL, with experience handling large, imperfect operational data.
• Experience delivering systems for sustained operational use rather than exploratory analysis alone.
• Routine use of AI-assisted development with informed judgment about where it adds value and where its output requires verification.
• Ability to explain a technical decision to a stakeholder who must defend that decision without understanding its internals.
• US Citizenship Required and Active US Secret clearance; CAC eligibility from the start; elevated security requirements.
• Willingness to travel up to 25% to customer sites, DEFCON AI HQ, and vendor facilities as required.

Responsibilities

• Design and maintain the graph of entities, records, and the typed relationships between them.
• Implement probabilistic matching, blocking, candidate generation, scoring, clustering, and threshold policy.
• Build deduplication and known-record suppression; establish provenance to trace to the source.
• Produce interface and data-flow design documentation as an implementation reference.
• Develop relevance and priority models over large, imperfect record sets; calibrate scores and thresholds.
• Design abstention policy to route uncertain/high-risk cases to a person.
• Implement embeddings, vector storage, and retrieval across a provenance-tracked evidence base; integrate LMs.
• Bind generated text to cited sources and ensure outputs are grounded in evidence.
• Own model packaging, serving, versioning, and rollback.
• Build secure ingestion, transformation, validation, and publishing across structured/unstructured data; add quality checks and lineage.
• Document assumptions and transformations; maintain audit trails and gated release processes.
• Instrument telemetry and ensure end-to-end traceability of recommendations.
• Prepare pipelines that function with/without live data and monitor data quality.

Skills

Python

SQL

Data engineering

AI-assisted development

Stakeholder communication

Security clearance

Tools

PostgreSQL

pgvector

Job description

Red Cell Partners is seeking a Data & ML Engineer to build the data and model layer behind an AI-enabled decision-support system in an accredited environment. This fully remote role involves ingestion from multiple sources, resolving records against a shared data model, and producing explanations with traceable provenance.

Expect 25% travel to DEFCON AI HQ and customer sites. You will work on record matching, calibrated scoring, and grounded generation, with an established platform for source