Offer summary

Qualifications:

PhD degree from a recognized university in Computer Science, Mathematics, or Computational Linguistics., Proven experience as an NLP Engineer or in a similar role, particularly with patient-related data., Strong understanding of NLP techniques, text representation, and machine learning methods., Proficiency in programming languages such as Python, Java, and R, along with experience in machine learning frameworks..

Key responsibilities:

Design and develop NLP applications to transform natural language data into useful features.

Select appropriate annotated datasets for supervised learning and implement algorithms for NLP tasks.

Train developed models, run evaluation experiments, and perform statistical analysis to refine models.

Stay updated with advancements in machine learning and extend client libraries for NLP applications.

Job description

Job Title : AI/ NLP Engineer
Location : Remote, Anywhere in India
Duration : Long Term

It's a part time role - 10 to 12 hours per week

With extensive domain knowledge, BigRio has teams of data architects, data engineers, software engineers, web developers, and consultants who deliver best-in-class solutions across a variety of verticals. Our diverse industry exposure equips us with invaluable tools, tricks, and techniques to
tackle complex software and data challenges

About you: We are seeking an AI/ NLP Engineer with experience in extracting data from various
Clinical Reports, Lab Reports, Radiology Reports. Ideal candidates should have a deep understanding of EMR/ EHR application along with patient related data.

· Designing and developing NLP applications
· Using effective text representation techniques and classification algorithms
· NLP Engineer responsibilities include transforming natural language data into useful features using.
· NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.

Responsibilities
· Study and transform data science prototypes
· Design NLP applications
· Select appropriate annotated datasets for Supervised Learning methods
· Use effective text representations to transform natural language into useful features
· Find and implement the right algorithms and tools for NLP tasks.
· Experience developing NLP algorithms using BERT and transformers.
· Develop NLP systems according to requirements
· Train the developed model and run evaluation experiments
· Perform statistical analysis of results and refine models
· Extend Client libraries and frameworks to apply in NLP tasks
· Remain updated in the rapidly changing field of Machine Learning

Requirements and skills
Education:
· Must have PhD degree from recognized University
· Proven experience as an NLP Engineer or similar role
· Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling
· Someone who has worked with patient related data. Experience in extracting data for PDF, Images of radiology reports/ clinical reports/ Lab reports.
· Ability to effectively design software architecture
· Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
· Knowledge of Python, Java and R
· Ability to write robust and testable code
· Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
· Strong communication skills
· An analytical mind with problem-solving abilities
· Degree in Computer Science, Mathematics, Computational Linguistics or similar field.

Required profile