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Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Support team data science modeling and problem-solving efforts, primarily in the area of sensor data ingestion, anomaly detection, predictive maintenance tooling.
- Propose data engineering solutions to support different modeling strategies, including AI/ML and agentic systems.
- Design, build and support healthy, automated, and repeatable data ingestion and processing pipelines, including delta tables and knowledge graphs, and the implementation of MLOps pipelines.
- Monitor and maintain data quality, integrity, consistency.
- Work on systems to monitor system health, data quality and scientific performance.
- Help design and build scalable, reliable, and high-performance systems and environments.
- Take part in implementation and support of continuous integration and continuous delivery (CI/CD).
- Contribute to technical documentation.
Requirements
What you’ll need- Minimum 3-year Cloud deployment experience (Azure preferred).
- Minimum 3 years’ experience in relational and non-relational database technologies.
- Minimum 3-years’ experience supporting data science, AI/ML and analytics projects and/or infrastructure.
- Minimum 2-years of experience with Python.
- Must be legally able to work in Canada.
- Individuals must not pose a risk for safeguarding of controlled goods.
- Must be eligible to handle US export-controlled data.
Benefits
Comp & perks- Relocation assistance is not a negotiable benefit for this position.
- Employer will not sponsor applicants for employment visa status.
- Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data science modelinganomaly detectionpredictive maintenancedata engineeringAI/MLdata ingestionMLOpsCI/CDPythondatabase technologies
Soft Skills
problem-solvingmonitoringdata quality managementtechnical documentation
