Senior Machine Learning Engineer, Supply & Insights DnA
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The role
Design, develop, and productionize end-to-end machine learning solutions at scale, handling both structured and unstructured data.
Collaborate with data scientists, software engineers, product managers, and operations to identify opportunities and quantify impact.
Refine requirements, drive engineering decisions, and prototype ML use cases for product integration.
Build, deploy, and operate ML models and pipelines for batch and real-time use cases, including API design for model-driven data.
Apply best practices in training and serving, feature engineering, A/B testing, and model selection across NLP, computer vision, and personalization domains.
Contribute to scalable ML infrastructure, APIs, and data architectures while embracing test-driven development and incremental delivery.
Collaborate with data scientists, software engineers, product managers, and operations to identify opportunities and quantify impact.
Refine requirements, drive engineering decisions, and prototype ML use cases for product integration.
Build, deploy, and operate ML models and pipelines for batch and real-time use cases, including API design for model-driven data.
Apply best practices in training and serving, feature engineering, A/B testing, and model selection across NLP, computer vision, and personalization domains.
Contribute to scalable ML infrastructure, APIs, and data architectures while embracing test-driven development and incremental delivery.
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