Director & Principal Engineer, AI/ML & MLOps Platform
745 THURLOW ST:VANCOUVER, Canada
CAD 90K-140K (estimate) Senior-level Full Time
Tasks
- Architect end to end AI ML platform capabilities
- Build analytics platforms
- Define data and machine learning best practices
- Deliver projects at scale
- Deploy and monitor machine learning models
- Design scalable data pipelines
- Develop machine learning systems
- Ensure data governance and security compliance
- Evaluate emerging technologies
- Mentor engineers
- Translate business needs into technical solutions
Perks/Benefits
- Career coaching
- Competitive compensation
- Comprehensive total rewards
- Flexible benefits
- Stock options
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS SageMaker | Agile | Airflow | Amazon EMR | Azure | CI/CD | CloudWatch | Infrastructure as Code | Java | Kafka | MLOps | Machine Learning | Model Deployment | Model Monitoring | PySpark | Python | Real Time | Real-time Inference | SQL | Scala | Spark | Step Functions | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Director | Director of Engineering | Engineer | Engineering | Principal | Principal Engineer
Regions
Countries
States
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