AI Engineer - NLP/LLM Data Specialist
Job Title: AI Engineer - NLP/LLM Data Specialist
Location: Houston, Texas - Remote
Duration: 6 months...
About the Role:
We are growing our Data Science and Data Engineering team and are looking for an experienced AI Engineer specializing in creating AI automation solutions. One use case for automation is in the extraction of data from handwritten medical records. 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:
Client Needs Assessment:
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 OCR, 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 OCR, NLP, LLM and other machine learning techniques.
Strong programming skills, especially in Python.
Familiarity with healthcare data privacy and regulatory requirements
Apply Now
Location: Houston, Texas - Remote
Duration: 6 months...
About the Role:
We are growing our Data Science and Data Engineering team and are looking for an experienced AI Engineer specializing in creating AI automation solutions. One use case for automation is in the extraction of data from handwritten medical records. 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:
Client Needs Assessment:
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 OCR, 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 OCR, NLP, LLM and other machine learning techniques.
Strong programming skills, especially in Python.
Familiarity with healthcare data privacy and regulatory requirements
Apply Now