Position Details
About this role
Gen AI Data Scientist to apply generative AI techniques to healthcare data, build ML models, and deploy them to production using cloud platforms and AI tools.
Key Responsibilities
- Work with stakeholders to assess ML use cases
- Develop an exploratory data analysis approach to verify hypotheses
- Document approach, thinking and results
- Prepare final trained model and validation test set
- Deploy model into production and support monitoring
Technical Overview
Stack includes Python, ML frameworks (TensorFlow, PyTorch, scikit-learn), NLP with transformers, cloud deployments (AWS/Azure/GCP), HuggingFace, LangChain, OpenAI, vector databases, Spark; produce production-grade ML models; collaboration with R&D and Ops.
Ideal Candidate
The ideal candidate is a mid-level Gen AI Data Scientist with 1+ years of hands-on AI experience, strong background in NLP and transformers, and proven ability to deploy production ML models on cloud platforms (AWS/Azure/GCP).
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 1+ years AI/ML experience, Lack of cloud ML deployment 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