Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
About the role
- Senior Machine Learning Engineer developing real-time learning systems for Quandri's AI-driven insurance platform. Collaborating with various stakeholders to deliver data-driven insights and analytics.
Responsibilities
- Help drive the evolution of our continuous learning system behind our AI and analytics work
- Design and implement real-time learning systems that continuously evolve Quandri's insurance intelligence
- Build feedback loop architectures and models that capture and integrate signals from broker activities and customer interactions
- Conduct advanced statistical analysis, explore complex datasets to uncover business opportunities, perform market research through data
- Partner with Product, Engineering, Sales, Marketing, and Leadership stakeholders to translate business questions into analytical frameworks and data-driven solutions
- Build predictive models, forecasting, impact analysis, statistical models and the systems around them to support business decision-making
- Identify new analytical opportunities, research emerging methodologies, leverage the AI tools, and drive data science best practices
- End-to-end ownership of models from research to production
- Work closely with our team to integrate data insights, engineering best practices and tech review to deliver production systems and analysis
Requirements
- Advanced degree (MS/PhD) in Statistics, the Sciences, Mathematics, Computer Science or related quantitative field
- 4-7 years of experience in ML engineering or data engineering roles with proven track record of driving business impact through analytics
- Advanced proficiency in Python/R, and SQL
- Expertise in building feedback loop integration systems that take feedback from engineering services, product activities, and customer interactions
- Strong foundation in reinforcement learning, self-supervised learning or human in the loop learning
- Experience translating business problems into analytical questions and communicating technical findings to non-technical stakeholders
- Proven ability to communicate complex ideas clearly, collaborate across teams, lead projects from concept to delivery, and inspire others through strong leadership
- Experience in agile, fast moving, and high impact business environments preferred
Benefits
- Comprehensive health benefits, including $500 Lifestyle Spending Account
- Four weeks of paid vacation per year
- Employee stock options based on experience level
- Work anywhere in the world for 60 calendar days of the year
- Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)
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