Senior Data Scientist - Generative AI, ML & Agentic Systems
Toronto, ON, CA, M5H 1H1
CAD 103K-179K (estimate) Senior-level Full Time
Tasks
- Analyze LLM agent and RAG interactions
- Build agentic AI architectures
- Conduct testing validation and quality assurance for AI models
- Deploy large language models for banking applications
- Deploy monitor maintain machine learning models
- Develop fine tune machine learning models
- Document data sources model development and implementation
- Ensure AI compliance with regulations and ethical standards
- Evaluate model performance metrics
- Implement conversational AI solutions
- Integrate AI solutions into core banking operations
- Lead mentor data science team
- Manage data science projects from conception to deployment
- Mitigate model bias and ensure fairness
- Monitor update retrain models continuously
- Select AI and ML approach for business problems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure | B testing | CI/CD | Classification | Cloud platform | Clustering | Data Cleansing | Data Enrichment | Data Mining | Data Privacy | Data Security | Data Transformation | Data profiling | Dimensionality Reduction | Docker | ETL | Experimental Design | Feature Engineering | Feature Selection | Feature Transformation | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Hypothesis Testing | Language Models | Large Language Models | MLOps | Machine Learning | Matplotlib | Model versioning | NumPy | Pandas | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Statistical Hypothesis Testing
Education
Roles
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