MLOps Engineer

Crum & Forster

$71K — $100K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in actuarial science, data science, mathematics, or statistics, or equivalent experience
  • Proficiency in R or Python for model development
  • Strong analytical skills with Excel and SQL
  • Experience with GIS technology like ArcGIS or Leaflet
  • Familiarity with presentation tools such as PowerPoint
  • Knowledge in logistic and multivariate regression
  • Skills in data wrangling and tree-based methods

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 build necessary software components
  • Collaborate on gating and readiness indicators for digital workflows
  • Develop process controls to monitor and address project risks like model drift

Benefits

  • Competitive compensation package
  • Generous 401K employer match
  • Employee Stock Purchase plan with employer matching
  • Generous Paid Time Off
  • Extensive wellness programs for physical, mental, and financial wellbeing
  • Career development opportunities, including tuition reimbursement and professional training
  • Dynamic and engaging work environment
  • Community service and employee-driven corporate giving initiatives
Full Job Description
Job Description The MLOps Engineer will contribute to a long-term technology project to develop decision-ready underwriting data and insights within short time durations of receiving a submission.  The project seeks to unify different human/digital workflows and technology stacks under a single umbrella.  The MLOps contribution to the project will relate to developing ML models, refactoring and optimizing existing ML models, and affecting model life cycle management around project components that use prebuilt AI.  The initial phase of project will likely span roughly six months with potential for engagements with the contractor in subsequent phases. What You Will Do: • Fill gaps in org’s ML modeling footprint • Retrofit and refactor existing ML models to meet project SLAs • Advise data team on extraction and contribute software components where needed • Work with data team on gating and readiness indicators to support digital workflow • Develop process level controls to monitor and mitigate project risks such as drift What You Will Bring to C&F: • Bachelor’s degree in actuarial science, data science, mathematics, or statistics or equivalent experience • Demonstrated ability with: • R or 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 What C&F will bring to you • Competitive compensation package • Generous 401K employer match • Employee Stock Purchase plan with employer matching • Generous Paid Time Off • Excellent benefits that go beyond health, dental & vision. Our programs are focused on your whole family’s wellness, including your physical, mental and financial wellbeing • A core C&F tenet is supporting your career development, so we provide a wealth of ways for you to keep learning, which may include tuition reimbursement, industry-related certifications and professional training to keep you progressing on your chosen path • A dynamic, ambitious, fun and exciting work environment • We believe you do well by doing good and want to encourage a spirit of social and community responsibility, matching donation program, volunteer opportunities, and an employee-driven corporate giving program that lets you participate and support your community At C&F you will BELONG

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