Head of Machine Learning - Aquaeye
Vancouver, British Columbia, Canada
A CAD 120K-180K Executive-level Full Time
Tasks
- Conduct technical reviews and promote knowledge sharing
- Define machine learning strategy
- Define model performance metrics
- Develop and deploy machine learning models
- Ensure production ML robustness and scalability
- Establish ML technical standards and best practices
- Implement dataset governance and quality standards
- Improve models through experimentation
- Lead ML architecture and signal processing architecture
- Lead data labeling preprocessing and quality assurance
- Manage ML Ops model versioning and monitoring
- Mentor and lead machine learning team
- Oversee machine learning model lifecycle
- Plan and execute field data collection
- Plan projects and manage risks using Jira
- Provide technical leadership for AI roadmap and deployments
- Translate customer needs into ML solutions
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Web Services | Artificial Intelligence | Azure | C# | Data Pipelines | Data Preprocessing | Data Quality | Data labeling | Embedded Machine Learning | IoT | Jira | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Model Deployment | Model Monitoring | Model Training | Model Validation | Model versioning | PyTorch | Python | Scikit-learn | Signal Processing | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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