AI/ML Platform Engineer
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 67K-110K (estimate) Mid-level Full Time
Tasks
- Apply adaptive productization processes
- Apply systems thinking to problem solving
- Automate code analysis build integration and deployment
- Champion platform reuse
- Decompose complex needs into manageable domains
- Deliver reusable platform products
- Design build and optimize deployment tools
- Implement data and machine learning pipeline standards
- Practice fail fast issue identification
- Support infrastructure design and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | AWS | Agile | Airflow | Azure | Bash | Code review | Computer Vision | Confluence | Continuous Deployment | Continuous integration | Control Management | Dagster | DevOps | Distributed Systems | Docker | Embeddings | GitHub Actions | JavaScript | Jira | Kubeflow | Kubernetes | Langchain | MLOps | Machine Learning | Message Queues | Microservices | MongoDB | Monitoring | MySQL | NoSQL | On-Premises | OpenAPI | OpenCV | OpenShift | PostgreSQL | PyTorch | Python | RAG | REST | RabbitMQ | Relational databases | Source Control | Source Control Management | TensorFlow | Testing | Vector Databases
Education
N/A
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