Senior MLOps Engineer — Production AI for Insurance

Strive Solutions

Chicago (IL)

On-site

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Strive Solutions in Chicago, IL seeks a Senior AI Engineer to design, build, and deploy scalable AI/ML solutions for the Insurance industry. You will drive model development to improve underwriting, claims, fraud detection, and customer experiences.

In this role you will develop production-grade AI/ML models, collaborate with data scientists and engineers, deploy models in cloud-based systems, and ensure reliability, fairness, and regulatory compliance while mentoring junior engineers and

Qualifications

  • Production AI/ML experience in real-world systems.
  • Experience with deployment, reliability, and MLOps practices.
  • Ability to evaluate and improve model fairness and regulatory compliance.
  • Strong collaboration across data science, engineering, and business teams.
  • Mentorship experience and ability to lead technical initiatives.

Responsibilities

  • Develop production-grade AI/ML models and features.
  • Collaborate with data scientists and engineering teams.
  • Integrate and deploy models into cloud-based systems.
  • Ensure model reliability, fairness, and compliance.
  • Mentor junior team members and promote engineering best practices.
  • Drive MLOps standards for repeatable deployments.
  • Partner with business stakeholders to translate data insights into measurable impact.

Skills

Production AI/ML experience
Deployment & MLOps
Fairness & compliance
Cross-functional collaboration
Mentorship & technical leadership

Job description

Strive Solutions in Chicago, IL seeks a Senior AI Engineer to design, build, and deploy scalable AI/ML solutions for the Insurance industry. You will drive model development to improve underwriting, claims, fraud detection, and customer experiences.

In this role you will develop production-grade AI/ML models, collaborate with data scientists and engineers, deploy models in cloud-based systems, and ensure reliability, fairness, and regulatory compliance while mentoring junior engineers and

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