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

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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Python NLP and LLM Engineer