What are the responsibilities and job description for the AI Engineer - NLP/LLM Data Product Engineer position at BigRio?
Job Title : AI Engineer - NLP / LLM Data Product Engineer
Location : Boston, MA- Hybrid
Duration : 6 months with a Contract to Hire
About BigRio
BigRio is a Digital Transformation consulting firm headquartered in Boston, MA, specializing in data and analytics, custom development, software implementation, data analytics, and machine learning / AI integrations. As a one-stop shop, we deliver cutting-edge and cost-conscious software solutions to clients across various industries. With diverse industry exposure, our teams of data architects, engineers, developers, and consultants tackle complex software and data challenges, providing best-in-class solutions.
About the Role :
We are growing our Data Science and Data Engineering team and are looking for an experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.
Responsibilities :
- Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.
- Analyze existing data entry workflows and propose automation opportunities.
Design :
Technology Selection :
Prototyping and Testing :
Implementation and Integration :
Training and Documentation :
Continuous Improvement :
Qualifications :
Additional Qualifications( great to have) :
An ideal candidate will have expertise in the most current LLM / NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR / EHR applications and patient-related data.
Equal Opportunity Statement :
BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.
