DEFCON AI engineers AI solutions that are powered by advanced optimization across a range of industries, translating complex operations into scalable success. Backed by Bessemer.
About the role
As a Data & ML Engineer you will build the data and model layer behind an AI-enabled decision-support system operating inside an accredited environment. That work covers ingestion from many source systems, resolution of incoming records against a shared data model, relevance scoring, and generation of explanations a user can act on and defend.
What they're looking for
- 5+ years of experience in data engineering, data architecture, applied machine learning, ML engineering, or production analytics engineering
- Strong Python and SQL , with demonstrated experience working with 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
More about this role
ABOUT DEFCON AI
RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.
In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
About the Role
As a Data & ML Engineer you will build the data and model layer behind an AI-enabled decision-support system operating inside an accredited environment. That work covers ingestion from many source systems, resolution of incoming records against a shared data model, relevance scoring, and generation of explanations a user can act on and defend.
Three characteristics make this a substantial technical challenge. The incoming data is predominantly low-signal, which means a model can report strong overall accuracy while failing on the cases that matter most. Every output must remain traceable to the underlying sources, because a person downstream is accountable for the result. Record matching is probabilistic rather than...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs