Staff Machine Learning Engineer
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Die Stelle
Lead the design, development, and optimization of advanced machine learning models to solve complex business problems.
Build scalable data processing pipelines, ensure data quality, and deploy models into production environments.
Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into products and services.
Monitor and evaluate deployed models, driving continuous improvements through experimentation and production telemetry.
Leverage frameworks like TensorFlow, PyTorch, or scikit-learn and cloud platforms (AWS, Azure, GCP) to deliver reliable solutions.
Preferred qualifications include transformer-based architectures, reinforcement learning, graph neural networks, self-supervised methods, and domain-specific risk or fraud modeling.
Build scalable data processing pipelines, ensure data quality, and deploy models into production environments.
Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into products and services.
Monitor and evaluate deployed models, driving continuous improvements through experimentation and production telemetry.
Leverage frameworks like TensorFlow, PyTorch, or scikit-learn and cloud platforms (AWS, Azure, GCP) to deliver reliable solutions.
Preferred qualifications include transformer-based architectures, reinforcement learning, graph neural networks, self-supervised methods, and domain-specific risk or fraud modeling.
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