Machine Learning Ops, AI Engineer

Company: Mission US

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-11-11

About this role

About Mission Underwriting Services

At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently. We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside. By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best underwriting and distribution. Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships. With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty. Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems.

What We Offer:

  • Remote First Work Environment (US Based)
  • Medical, Dental, Vision
  • 401K, 401K Match
  • Life and Disability Benefits
  • Unaccrued Paid Time Off
  • 11 Paid Holidays
  • Employee Discounts
  • Employee Assistance Program
  • Educational Assistance Program
  • Employee Referral Program
  • Paid Parental Leave

Purpose:

Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection of cloud engineering, DevOps, AI platform operations, and AI governance. The successful candidate will ensure that our AI infrastructure is secure, observable, scalable, resilient, auditable, and ready for enterprise production use.

This role owns the engineering practices that move AI workloads safely from development through production, including deployment automation, CI/CD, cloud security, monitoring and observability, incident response, model and agent lifecycle controls, model drift detection, and governance evidence. The role partn...

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