Senior Data Scientist
Tasks
- Architect and oversee integration of ai components into core product features
- Conduct exploratory analysis across multiple data sources
- Define industry standard metrics for reasoning accuracy and system reliability
- Define reliability scalability and ethical ai performance standards
- Design prototype multi agent systems and rag architectures
- Develop evaluation methodologies for llm and agentic ai systems
- Lead research and development of agentic ai and genai solutions for financial crime detection
- Perform code reviews and technical mentoring
- Research model context protocol applications
Perks/Benefits
- Annual learning budget
- Equity
- Home office starter budget
- Hybrid work
- Private medical insurance
- Unlimited time off
Skills/Tech-stack
Agent systems | Agentic AI | Dask | Entity Resolution | Graph Machine Learning | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Spark | TensorFlow
Education
Roles
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