Job Description
- 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/Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field
- 2+ years of experience using NLP algorithms, pre-processing, developing models for classification, recommendation, clustering, 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
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