We are hiring a Mid NLP Engineer to contribute to applied natural language processing work with a focus on core modeling and language understanding tasks. This role centers on building and improving solutions that rely on text preprocessing, transformer architectures, and named entity recognition. The position offers the opportunity to support practical NLP outcomes through hands-on engineering and model development.
• Text preprocessing — target L6 (Prof), must-have • transformer architectures — target L6 (Prof), must-have • named entity recognition — target L6 (Prof), must-have • sentiment analysis — target L6 (Prof), nice-to-have • sequence-to-sequence modeling — target L6 (Prof), nice-to-have • Working AI leverage — observed and scored, never assumed • 3–8 years of relevant experience
Design, implement, and refine NLP solutions that depend on reliable text preprocessing, transformer architectures, and named entity recognition. Prepare and transform text data to support downstream modeling and language understanding tasks. Contribute to the development and improvement of NLP models and pipelines for entity-focused applications. Where relevant, support adjacent NLP work involving sentiment analysis and sequence-to-sequence modeling.
this position is for US based clients .
This role offers the chance to work directly on practical NLP problems with a clear focus on core language engineering capabilities. It is well suited to someone who wants to apply and deepen experience in text preprocessing, transformer architectures, and named entity recognition while contributing to applied NLP development.
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