Sedgwick
10,000+ employees
🏢 Enterprise
📋 Compliance
Insurance • Enterprise • Compliance
Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.
Senior Engineer – LLMOps, MLOps
🕒 April 30
🥔 Idaho, Louisiana, +2 more states – Remote
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Sedgwick
10,000+ employees
🏢 Enterprise
📋 Compliance
Insurance • Enterprise • Compliance
Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.
📋 Description
• Own the production lifecycle of AI initiatives • Build and maintain CI/CD and CT pipelines across AWS and Azure • Design infrastructure for Retrieval-Augmented Generation (RAG) • Build
🎯 Requirements
• Bachelor’s degree in Computer Science or a related field required • 6+ years of engineering experience • 3 years strictly focused on MLOps or LLMOps • Deep, hands-on proficiency in AWS & Azure • Expert Python, SQL, and PySpark • Experience with Docker, Kubernetes, Airflow, or Kubeflow • Professional experience with LangSmith, Arize Phoenix, or WhyLabs • Strong understanding of statistical validation and model evaluation metrics • Ability to move at the speed of a startup while maintaining collaborative relationships
🏖️ Benefits
• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities
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