Sr Machine Learning Engineer
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Die Stelle
Design, develop, and optimize machine learning models for diverse applications with scalable, production-ready pipelines.
Preprocess, analyze, and extract insights from large datasets to inform product decisions and improve customer experiences.
Deploy ML solutions into production using established tools and frameworks, ensuring reliability, monitoring, and governance.
Collaborate with data scientists, software engineers, and product teams to integrate models into products and services.
Monitor performance, iterate, and apply advanced techniques such as transformer architectures, reinforcement learning, graph models, and self-/semi-supervised methods as appropriate.
Leverage cloud platforms (AWS, Azure, GCP) and strong data processing capabilities to deliver high-impact ML solutions in high-noise domains like risk and fraud detection.
Preprocess, analyze, and extract insights from large datasets to inform product decisions and improve customer experiences.
Deploy ML solutions into production using established tools and frameworks, ensuring reliability, monitoring, and governance.
Collaborate with data scientists, software engineers, and product teams to integrate models into products and services.
Monitor performance, iterate, and apply advanced techniques such as transformer architectures, reinforcement learning, graph models, and self-/semi-supervised methods as appropriate.
Leverage cloud platforms (AWS, Azure, GCP) and strong data processing capabilities to deliver high-impact ML solutions in high-noise domains like risk and fraud detection.
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