MLOps Engineer

Crum & Forster (C&F) provides market-leading property & casualty, accident & health, specialty, and standard commercial lines insurance solutions. With a 200-year history, C&F helps customers manage risk through focused expertise, integrity, and discipline. The company empowers employees to make swift, smart decisions and boasts an annual gross written premium of $6.2 billion, backed by an "A+" (Superior) financial strength rating from AM Best. C&F employs 3,000 people across the United States and India and is recognized as a great place to work, earning awards such as Great Place to Work®, Fortune 100 Best Companies to Work For, and Best Workplaces for Parents and Millennials. C&F is part of Fairfax Financial Holdings.

About the role

The MLOps Engineer will contribute to a long-term technology project aimed at developing decision-ready underwriting data and insights within short timeframes after receiving a submission. The project seeks to unify diverse human and digital workflows under a single umbrella. The MLOps Engineer will focus on developing, refactoring, and optimizing ML models, as well as managing the model lifecycle for components leveraging prebuilt AI. The initial phase is expected to span roughly six months, with potential for ongoing engagements in subsequent phases.

Responsibilities

• Fill gaps in the organization’s ML modeling footprint
• Retrofit and refactor existing ML models to meet project SLAs
• Advise the data team on extraction and contribute software components where needed
• Collaborate with the data team on gating and readiness indicators to support digital workflows
• Develop process-level controls to monitor and mitigate project risks such as drift

Requirements

• Bachelor’s degree in actuarial science, data science, mathematics, or statistics, or equivalent experience
• Demonstrated ability with:
  • R or Python
  • Excel
  • SQL
  • GIS technology such as ArcGIS or Leaflet
  • Presentation technology such as PowerPoint
  • Logistic and multivariate regression
  • Data wrangling
  • Tree-based methods

Benefits

• Competitive compensation package
• Generous 401K employer match
• Employee Stock Purchase Plan with employer matching
• Generous Paid Time Off
• Comprehensive benefits focused on whole-family wellness, including physical, mental, and financial wellbeing
• Career development support, including tuition reimbursement, industry-related certifications, and professional training
• Dynamic, ambitious, and fun work environment
• Opportunities for social and community impact, including a matching donation program, volunteer opportunities, and an employee-driven corporate giving program

Pay

The annualized base pay for this position ranges from a minimum of $71,600 to a maximum of $100,900. Actual compensation is determined by factors such as market pay for comparable roles, responsibilities, required skills, and individual performance. Eligible employees may also participate in discretionary equity-based compensation and performance-based variable pay programs.