An LLM – Python for Machine Learning engineer leverages Python to build and integrate machine learning solutions enhanced with Large Language Models (LLMs). This role focuses on applying supervised and unsupervised learning techniques while also incorporating LLMs for advanced capabilities such as natural language understanding, summarization, or classification. The engineer is responsible for handling datasets, preprocessing, training models, evaluating performance, and integrating LLMs into ML pipelines. A deep understanding of Python’s ML libraries and the ability to write modular, production-ready code is critical. This role blends core machine learning tasks with the emerging power of language models to solve complex AI problems.
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