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AI Engineer - NLP/LLM Data Product Engineer

This role is for an "AI Engineer - NLP/LLM Data Product Engineer" in Boston, MA, hybrid, for 6 months with potential for hire. Requires advanced degree, experience in AI solutions for healthcare, expertise in NLP/LLM, and strong Python skills.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Boston, MA
🧠 - Skills detailed
#Automation #NLP (Natural Language Processing) #Data Engineering #Data Privacy #Programming #Data Architecture #ML (Machine Learning) #Data Science #Documentation #Consul #"ETL (Extract #Transform #Load)" #Consulting #Computer Science #Python #AI (Artificial Intelligence)
Role description
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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:
• Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.
• Collaborate with clients to define project scopes and objectives.

Technology Selection:
• Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.
• Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:
• Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.
• Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:
• Work closely with clients and IT teams to integrate AI solutions effectively.
• Provide technical support during the implementation phase.

Training and Documentation:
• Develop training materials for end-users and support staff.
• Create comprehensive documentation for implemented solutions.

Continuous Improvement:
• Monitor and optimize the performance of deployed solutions.
• Identify opportunities for further automation and improvement.

Qualifications:
• Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).
• Proven experience in developing and implementing AI solutions for data entry automation.
• Expertise in NLP, LLM and other machine-learning techniques.
• Strong programming skills, especially in Python.
• Familiarity with healthcare data privacy and regulatory requirements.

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.