Candidate should be able to: Design end to end java applications Perform statistical analysis of results and refine models Find and implement the right algorithms and tools for NLP tasks Study and transform data science prototypes Extend ML libraries and frameworks to apply in NLP tasks Design Database to store NLP entities and relationship Remain updated in the rapidly changing field of machine learning write robust and testable code Training and evaluating models Use effective text representation techniques and classification algorithms Designing and developing NLP applications for medical entity extraction and text mining Candidate should have:
Experience with machine learning frameworks (like Keras or openly) and libraries (like sci-kit-learn) Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling Familiarity with Ontology tools and technologies Knowledge of Python, SQL Proven experience as an NLP Engineer or similar role/Track record in NLP/NLU and related technologies Clinical NLP experience (cTakes, UIMA) Strong Java development experience would be preferred.
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