Principal Machine Learning Engineer
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Die Stelle
Own end-to-end ML systems that rank and prioritize claim opportunities to maximize recoveries.
Develop, train, deploy, evaluate, and improve production-grade models with measurable business impact.
Explore and wrangle data from internal and third-party sources to uncover actionable opportunities.
Collaborate with software engineers, data engineers, PMs, and analysts to design practical, scalable solutions.
Implement cloud MLOps/AIOps practices to streamline development, deployment, and maintenance of ML workflows.
Lead a workstream, mentor teammates, contribute to strategy, and stay hands-on with coding.
Develop, train, deploy, evaluate, and improve production-grade models with measurable business impact.
Explore and wrangle data from internal and third-party sources to uncover actionable opportunities.
Collaborate with software engineers, data engineers, PMs, and analysts to design practical, scalable solutions.
Implement cloud MLOps/AIOps practices to streamline development, deployment, and maintenance of ML workflows.
Lead a workstream, mentor teammates, contribute to strategy, and stay hands-on with coding.
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