Python NLP and LLM Engineer

Job Code : EWC - 1437

·        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