Python NLP and LLM Engineer
• 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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• 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
Apply tot his job
Apply To this Job