Data Science - Senior Architect (Healthcare & Life Sciences)
Tasks
- Architect enterprise AI solutions
- Build multi-agent systems
- Build prototypes and demos
- Conduct executive discovery
- Deploy and monitor production AI models
- Design RAG architectures
- Design end-to-end ML pipelines
- Develop solution architectures and proposals
- Evaluate model performance and business ROI
- Integrate LLM applications with enterprise data
- Lead AI architecture and technical delivery
- Mentor data science teams
- Operationalize MLOps workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | CI/CD | Containerization | Data Modeling | Data Warehousing | Deep learning | ELT | ETL | Embeddings | Generative AI | Guardrails | Kubeflow | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Evaluation | Monitoring | Observability | Prompt engineering | PyTorch | Python | Reranking | Retrieval-Augmented Generation | SQL | Security | Structured Output | TensorFlow | Tool-Calling | Vector Search
Education
N/A
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