Lead, Machine Learning Engineer, GFT
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 90K-140K (estimate) Senior-level Full Time
Tasks
- Apply MLOps practices
- Build LLM-powered agents
- Build Retrieval Augmented Generation systems
- Collaborate with engineering architecture and model risk management
- Communicate technical concepts to stakeholders
- Deploy machine learning models
- Design vector database based retrieval pipelines
- Develop NLP pipelines
- Develop generative AI solutions
- Evaluate emerging AI/ML technologies
- Implement RESTful APIs for model serving
- Lead end to end AI ML lifecycle
- Mentor team members
- Monitor ML systems
- Provide model production support
- Translate business problems into machine learning problems
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Decision Trees | Embeddings | FastAPI | Fine Tuning | Flask | Generative AI | Git | Language Models | Language Processing | Large Language Models | Linux | Logistic Regression | MLOps | Machine Learning | Matplotlib | Model Monitoring | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | Python | RAG | REST APIs | Random Forests | Retrieval-Augmented Generation | Scikit-learn | Seaborn | Transformers | Vector Databases
Education
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