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- Develop, optimize, and maintain end-to-end ML solutions, including data pipelines, model training, and deployment.
- Collaborate with stakeholders to translate business requirements into scalable, production-ready ML applications.
- Apply advanced ML techniques (supervised, unsupervised, NLP, CV, time-series) using Python and key data science libraries.
- Ensure model performance, accuracy, and maintain clear technical documentation and code standards.
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