Senior Applied AI Engineer (Capital Markets / M&A)
Location(s): Mississauga, Ontario, Canada
CAD 145K-217K Senior-level Full Time
Tasks
- Adapt existing models to business needs
- Collaborate with product managers data scientists and analysts
- Create technical documentation
- Define data requirements with data engineers
- Deploy and scale AI/ML models
- Design AI/ML solutions
- Ensure data quality
- Implement AI/ML platforms
- Lead AI research and evaluation
- Maintain architecture diagrams and operational guides
- Maintain production AI systems
- Mentor engineers through code reviews
- Monitor model performance
- Optimize data pipelines
- Optimize inference performance
- Provide technical leadership
Perks/Benefits
- N/A
Skills/Tech-stack
12-Factor | 12-Factor App | Agile | Angular | CI/CD | Cloud Native | Cloud Native Architecture | Data JPA | Docker | Domain-Driven Design | Embeddings | Java | JavaScript | Jenkins | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | MongoDB | Natural Language | Natural Language Processing | OpenShift | Oracle | Retrieval-Augmented Generation | SQL | Software Architecture | Spring Boot | Spring Cloud | Spring Data | Spring Data JPA | Spring Framework | Spring MVC | Test-Driven | Test-Driven Development | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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