Vacancy Description
Responsibilities
- Work directly on building, deploying, and iterating on machine learning models and agentic workflow features
- Apply ML techniques to improve accuracy and overall system performance for production-ready solutions
- Implement and validate ML models and agentic workflows supporting submission intake and underwriting automation
- Deploy and adapt autonomous agent behaviors into customer-specific workflows
- Develop and maintain evaluation pipelines, monitoring systems, and performance metrics
- Monitor production systems via logs and metrics to diagnose issues and drive resolution
- Partner closely with Data Science and Engineering teams to deliver high-impact solutions
Requirements
- Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, AI, or a related field
- 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or s...
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