| NLP Engineer - Remote - Contract at Remote, Remote, USA |
| Email: [email protected] |
| From: Vijay Chepyala, Talent Groups [email protected] Reply to: [email protected] Role : NLP Engineer Location: Remote Duration: Contract Summary: We are seeking a talented and experienced Python NLP and LLM developer to join our team. The ideal candidate will have a strong understanding of natural language processing and machine learning, as well as experience integrating with large language models and deploying it as an API. Responsibilities: Develop and implement state-of-the-art NLP and LLM solutions. Design , engineer and evaluate NLP pre-processing, model training and inference pipelines. Integrate with LLMs like OpenAI for implementing retrieval augmented generation, synthetic content generation, creating abstractive summaries etc. Ability to benchmark and evaluate multiple models. Evaluate and improve NLP and LLM performance. Collaborate with data scientists and ML engineers to develop and deploy NLP and LLM solutions. Qualifications: Bachelor's/masters degree in computer science, Artificial Intelligence, Natural Language Processing, or a related field 2+ years of experience using NLP algorithms, pre-processing, and developing models for classification, recommendation, clustering, and dimensionality reduction. Experience developing NLP applications such as machine translation, text summarization, and question-answering. Strong understanding of natural language processing, machine learning and Deep learning algorithms Excellent Experience with Python and working with Jupyter notebooks. Experience working with NLP libraries like NLTK / spaCy / PyTorch Experience with Git, CI/CD, and Linux environments Experience working with Agile development teams. Excellent communication and collaboration skills Bonus Qualifications: Experience with deep learning architectures such as RNNs, CNNs, and Transformers Experience with transfer learning and fine-tuning of large language m Keywords: continuous integration continuous deployment machine learning information technology |
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| Fri Jan 05 04:00:00 UTC 2024 |