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About the Role

Trinnex is seeking a Senior AI/ML Quality Assurance Engineer to lead the validation, testing, and monitoring of production AI and machine learning solutions. This role ensures predictive models are accurate, reliable, explainable, and compliant, partnering with Data Science, MLOps, Consulting, and Governance teams to support responsible AI delivery.

Responsibilities

Design, develop, and maintain automated testing frameworks to validate machine learning models, data pipelines, and predictive analytics solutions.
Validate tabular, geospatial, classification, and risk-scoring models to ensure accuracy, reliability, and alignment with business and regulatory requirements.
Perform model explainability and quality assessments using industry-standard XAI techniques and document results for internal and client-facing stakeholders.
Partner with MLOps teams to implement monitoring, alerting, and performance tracking for data drift, concept drift, and model degradation in production environments.
Support root cause analysis, incident investigations, rollback validation, and recovery testing for AI/ML systems.
Assist in evaluating emerging Generative AI and Retrieval-Augmented Generation (RAG) solutions, including model performance, retrieval accuracy, safety, and guardrail effectiveness.
Collaborate with Consulting and Governance teams to develop validation reports, model documentation, and compliance artifacts that support transparent and responsible AI practices.
Conduct quality reviews of AI and data science deliverables prior to client release, identifying risks, data quality concerns, and model limitations.

Requirements

Experience validating, testing, or monitoring production machine learning models, particularly classification, regression, or predictive analytics solutions.
Strong proficiency in Python, SQL, and Git, with hands-on experience handling spatial data structures (e.g., GeoPandas, Shapely, or PostGIS).
Experience with AI/ML testing, validation, and monitoring frameworks, including automated testing, model performance monitoring, and observability solutions.
Familiarity with Docker, Kubernetes, and cloud environments (GCP), including application monitoring and production support workflows.
Ability to translate complex data science and model outputs into clear, actionable documentation for technical and business stakeholders.
Understanding of model performance measurement, drift detection, and production monitoring concepts.
Strong technical writing skills with experience creating and reviewing model documentation, validation reports, test plans, runbooks, APIs, or other technical artifacts.
Ability to collaborate across multidisciplinary teams, including Data Science, MLOps, Software Engineering, Product Management, and Consulting organizations.
Bachelor's degree.
5 years of related experience.
Equivalent additional directly related experience will be considered in lieu of a college degree.
Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.

Skills

Python
SQL
Git
GeoPandas
Shapely
PostGIS
pytest
MLflow
Deepchecks
Evidently AI
Arize
GCP Production Monitoring/Cloud Monitoring
Grafana
Datadog
Docker
Kubernetes
GCP
Generative AI
Retrieval-Augmented Generation (RAG)

Location

British Columbia
Alberta
Manitoba
Ontario

Work Type

Remote

Experience Level

Senior
5 years of related experience

Education Level

Bachelor's degree
Bachelor's degree in Computer Science, Software Engineering, Data Science, Geographic Information Systems (GIS), Engineering, or a related quantitative field.

Salary/Compensations

CAD $144,477.00
CAD $252,824.00

Benefits

All bonuses at CDM Smith are discretionary and may or may not apply to this position.

About the Company

Trinnex is a visionary company that is transforming the way water resources are managed and protected.
By combining cutting-edge digital technologies, such as sensor/IoT data, models, geospatial data, and AI/machine learning, we create innovative, smart, and scalable solutions that make a difference.
Whether it's optimizing water supply and demand, detecting leaks and anomalies, or enhancing water quality and resilience, Trinnex delivers value and impact to public sector clients across the country.
Trinnex, wholly owned subsidiary of CDM Smith, is seeking a highly skilled and collaborative Senior AI/ML Quality Assurance Engineer to lead the validation, testing, and monitoring of production AI and machine learning solutions.
CDM Smith is committed to fair and equitable compensation practices.
CDM Smith attracts the best people in the industry, supporting their efforts to learn and grow.
We strive to create a challenging and progressive work environment.
We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients.

Equal Opportunity

CDM Smith is an Equal Opportunity/Affirmative Action employer.
Given our ongoing commitment to fostering an inclusive workplace, CDM Smith will consider all other accommodation requests related to protected characteristics in good faith, in accordance with its internal policies and procedures and all applicable laws.