Python NLP and LLM Engineer
You will build and deploy state-of-the-art NLP and LLM solutions.
Responsibilities
- Design, engineer, and evaluate NLP pre-processing, model training, and inference pipelines.
- Integrate LLMs like OpenAI to implement retrieval augmented generation, synthetic content generation, and abstractive summaries.
- Benchmark and evaluate multiple models to improve NLP and LLM performance.
- Collaborate with data scientists and ML engineers to develop and deploy production solutions.
Required Skills
- 2+ years of experience using NLP algorithms, pre-processing, and developing models for classification, recommendation, clustering, and dimensionality reduction.
- Experience developing NLP applications including machine translation, text summarization, and question answering.
- Strong understanding of natural language processing, machine learning, and deep learning algorithms.
- Proficiency with Python and Jupyter notebooks.
- Hands-on experience with NLP libraries such as NLTK, spaCy, or PyTorch.
- Experience with Git, CI/CD, and Linux environments.
- Experience working within Agile development teams.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, NLP, or a related field.