Principal Applied AI Scientist - Agentic AI
Tasks
- Architect predictive generative and optimization models for healthcare operations
- Build and deploy predictive and generative agentic systems from prototype to production
- Collaborate with clients to gather feedback
- Deploy and maintain models with engineering and DevOps teams
- Design novel machine learning and optimization methodologies
- Develop analytics forecasting and decision support models
- Drive experimentation and rapid prototyping
- Ensure compliance with HIPAA and healthcare data privacy regulations
- Ensure responsible AI with model validation monitoring and risk management
- Implement model monitoring for performance reliability and data quality
- Lead research design and deployment of machine learning and AI systems in production environments
- Mentor applied scientists and data scientists
- Research and evaluate foundation models and agentic systems
- Translate AI capabilities into scalable production solutions
- Write scalable, production-ready code
Perks/Benefits
- 401k match
- Flexible schedule
- Health insurance
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Agentic Systems | Autogen | Cloud Computing | Data Quality | Data Systems | Decision support | Deep learning | Embeddings | Forecasting | Generative AI | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Large Scale Data | Large scale data systems | Large-scale | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Optimization | PyTorch | Python | RAG | Retrieval systems | Statistics | TensorFlow
Education
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