What you’ll do:

• Foundation Model Identification:
  • Identify and evaluate suitable foundation models for health and care applications, ensuring robust performance in the medical interview context.
• Cross-functional Collaboration:
  • Collaborate closely with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to comprehend business requirements and identify opportunities for applying NLP and LLM models.
• Scalable Data Pipelines:
  • Design and implement scalable, efficient, and automated data pipelines for tuning, evaluating, and monitoring LLM models specifically tailored for medical interview scenarios.
• Stay Current with Research:
  • Stay abreast of the latest advancements in NLP and LLM research and apply this knowledge to continually enhance the performance and capabilities of our chatbot models.
• Documentation:
  • Document the entire lifecycle of the design, development, and deployment processes of LLM models, ensuring comprehensive documentation for future reference and collaboration.

What we’re looking for:

• Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field.
• 5 years of hands-on experience in developing and implementing language ML models and experience with modern transformer based LLM models and algorithms.
• Production Deployment:
  • Proven experience in successfully developing and deploying machine learning models in a production environment, with a focus on scalability and reliability.
• Programming Skills:
  • Strong programming skills in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications.
• Problem-Solving:
  • Strong problem-solving skills and the ability to work both independently and collaboratively within a team environment.
• Communication Skills:
  • Excellent written and verbal communication skills, facilitating effective collaboration and communication across teams.