Data Scientist / Engineer (Healthcare Solutions)
Tasks
- Build data pipelines optimized for LLMs and multimodal models
- Contribute to insurance claims roadmap
- Create agent tools for database queries and API calls
- Design develop and deploy LLM based solutions for claims handling
- Develop MVP for payment integrity solutions
- Ensure responsible AI practices
- Establish evaluation frameworks for LLM decisions
- Experiment with agentic AI technologies
- Lead client workshops and present prototypes
Perks/Benefits
- Flexible remote working
- Hybrid working options
- Learning and development opportunities
- Mental health benefits
- Paid Holidays
- Paid time off
- Paid volunteering days
Skills/Tech-stack
Computer Vision | Data Pipelines | Databricks | Delta Lake | Embeddings | Generative AI | LLM Evaluation | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Machine learning lifecycle | Model Monitoring | Model Tuning | Model versioning | Natural Language | Natural Language Processing | OCR | OpenAI | Prompt engineering | Python | Retrieval-Augmented Generation | Spark | Unity Catalog
Education
N/A
Regions
Countries
States
Cities
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