Pinnacol Assurance
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As a Data Engineer at Pinnacol Assurance, you will be responsible for designing and developing data solutions in a Google Cloud Platform environment. Your role will involve building new data products, ensuring data security and privacy, and enhancing platform capabilities to support the organization's growth. Successful candidates should have knowledge of data engineering best practices and experience in cloud environments, ETL/ELT tooling, container technologies, and cloud-based data storage.
Seeking a highly motivated Senior Machine Learning Engineer to optimize the deployment, integration, and maintenance of internal AI chat and search services within a workman's compensation data ecosystem. Responsibilities include lead model deployment, CI/CD optimization, cloud infrastructure expertise, software development best practices, data pipeline enhancement, team collaboration, technical documentation, and staying updated on advancements in machine learning deployment.
As a Machine Learning Operations (MLOps) Engineer at Pinnacol Assurance, you will optimize the deployment, integration, and maintenance of AI chat and search services within a workers’ compensation data ecosystem. Responsibilities include model deployment, CI/CD optimization, cloud infrastructure expertise, software development best practices, data pipeline enhancement, team collaboration, and technical documentation.
Join the Future Tech Jobs Community at Pinnacol, a technology first company focused on making a meaningful impact in workers' lives. Work on customer-focused experiences built on nimble platforms using Salesforce, React, Python, and more. Collaborate in a culture that values feedback, innovation, and continuous learning.
Join the Future Insurance Operations Community at Pinnacol Assurance to provide caring workers’ compensation protection to Colorado employers and employees. Roles include Customer Experience, Claims Representative, Underwriting, and more. Spanish-speaking candidates are encouraged to apply!
