Position Details
About this role
This role involves analyzing organizational data to develop and fine-tune generative AI models, focusing on NLP and large language models, to support healthcare insights and decision-making.
Key Responsibilities
- Analyze and model organizational data
- Develop and fine-tune LLM and NLP models
- Collaborate with MLOps team for deployment and evaluation
- Ensure data and model governance standards
- Optimize AI models for efficiency
Technical Overview
The technical environment includes Python programming, NLP, LLM development, data pipelines, MLOps tools, and stream/batch data processing, with a focus on model lifecycle management and governance.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 4+ years of experience in developing and deploying large language models and NLP solutions, preferably in healthcare or related fields. Strong Python skills and experience with data pipelines and MLOps are essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with LLM or NLP, No Python proficiency, Less than 4 years of experience, No healthcare data experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile