Data Scientist/MLOps Engineer
Please See Below
Location
🇺🇸 Vienna, United States
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
Data Scientist / MLOps Engineer Thoriva.ai · Vienna, VA · Hybrid · Full-Time · Engineering & DevOps Thoriva.ai, an Infinite Company, is building the ML backbone of our government services solutions, and we need engineers who can own it end-to-end. As a Data Scientist / MLOps Engineer, you will design, deploy, and sustain production-grade AI/ML solutions that detect fraud, waste, and abuse and that improve operations across government functions. If you thrive at the intersection of rigorous data science and operational excellence, and want your models to matter, this role is built for you.
ABOUT THE COMPANY
Thoriva.ai is an AI technology company delivering intelligent, data-driven solutions to transform government operations. Our work sits at the intersection of AI, strategic innovation, operational execution, and trusted partnerships. We combine AI solutions, commercial expertise, and business logic to address government and federal agencies’ biggest challenges. JOB SUMMARY As a Data Scientist / MLOps Engineer for the State & Local sector, you will design, build, and operationalize AI/ML solutions across Thoriva's enterprise platform, owning the full machine learning lifecycle from data exploration and model development through production deployment, monitoring, and retraining. Your work will focus on fraud detection, anomaly detection, eligibility validation, and risk scoring in public-sector environments, and you will collaborate closely with product, engineering, data, and compliance teams to deliver explainable, auditable, and mission-ready AI solutions that meet the rigorous standards of government oversight.
Key Responsibilities
- Design, build, test, and continuously improve machine learning models for fraud detection, waste identification, abuse pattern recognition, eligibility verification, anomaly detection, risk scoring, and program-integrity use cases across government benefit and compliance programs.
- Perform structured and semi-structured data exploration, feature engineering, model training, validation, and rigorous performance evaluation against real-world agency