Senior MLOps Machine Learning Engineer — Chicago, IL — 07.11.2026 — LinkedIn

Senior AI Engineer to design, build, and deploy scalable AI/ML solutions for the insurance domain.

Key Responsibilities

• Develop production-grade machine learning models to enhance underwriting, claims, fraud detection, and customer experiences.

• Collaborate with data scientists and engineering teams to deliver end-to-end AI solutions.

• Integrate models into cloud-based systems and support deployment.

• Ensure model reliability, fairness, and regulatory compliance.

• Drive MLOps best practices and operational excellence.

• Mentor junior team members and contribute to engineering standards.

• Partner with business stakeholders to translate complex data into measurable outcomes.

Required Qualifications / Skills

• Strong expertise in AI/ML model development and production deployment.

• Experience with cloud integration and scalable ML systems.

• Solid understanding of fairness, reliability, and compliance considerations.

• Proficiency in MLOps practices for monitoring, governance, and lifecycle management.

• Ability to mentor others and communicate insights to technical and business audiences.