AI Enablement Specialist- Experienced Graduate
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, AI Evaluation, Machine Learning/ ML Engineer
Summary
We are seeking AI Enablement Specialist – Experienced Graduate to join our Customer Experience team as part of the Graduate Program. In this role, you will support the Credit and Collections team and the operations and performance optimization of enterprise AI programs that directly enhance risk assessment and collections efficacy. You will collaborate with technology and business leaders to ensure reliable, scalable, and compliant AI operations that accelerate net bad debt reduction strategies and deliver measurable business value.
Key Responsibilities- Contribute to the design and documentation of requirements used to train and evaluate AI/ML models.
- Support model performance analysis, identifying gaps and proposing improvements to enhance accuracy, fairness, and reliability.
- Assist in the retraining and continuous optimization of AI models, ensuring alignment with evolving data and use cases.
- Collaborate cross‑functionally with data scientists, engineers, and domain experts to refine model outputs and ensure responsible AI practices.
- Collaborate with engineering teams to validate, test, and operationalize models in production environments.
- Support data‑driven insights and analytics to guide project decisions, monitor progress milestones, and quantify the measurable business value of AI initiatives.
- Assist in maintaining operational processes, documentation, and KPIs for AI solutions.
- Contribute to the monitoring and reliability of new AI tools and solutions used in credit and collections.
- Collaborate with business and technology teams to support ongoing enhancements to AI workflows and data quality.
- Assist with change management, documentation, and user enablement to support adoption of AI tools.
- Bachelor’s in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related quantitative field.
- 1‑3 years of experience in data analysis, technology, AI/ML, or related fields.
- Graduate experience with relevant coursework or hands‑on experience in AI/ML, data modeling, or algorithm design.
- Experience in building requirements for AI models, model performance and supporting retraining of these models.
- Understanding of AI/ML lifecycle management, including deployment, monitoring, operational adoption, drift detection, and model optimization. Strong problem‑solving skills and attention to detail.
- Ability to collaborate effectively within cross‑functional teams in a complex and often ambiguous environment.
- Demonstrated ability to translate AI capabilities into measurable business value.
- Strong written and verbal communication skills, with eagerness to learn and adapt in a fast‑paced, evolving environment.
- Experience in the consumer lending space with knowledge across the credit life cycle: originations, account management, collections early stage/late stage recovery.
- Interest in credit, risk, or collection processes (prior exposure is a plus).
Adequate knowledge of French is required for positions in Quebec.
Additional Information- Position Type:
Management - Job Status:
Regular - Full Time - Job Location:
Canada – Ontario – Toronto / Canada – Ontario – Mississauga / Canada – Quebec – Montreal
Hybrid (based in Canada, report to a Bell office for a minimum of 3 days a week).
Final date to receive applications07/10/2026
BenefitsAs part of our team, you’ll enjoy a comprehensive compensation package that includes competitive salary, medical, dental, vision, and mental health benefits, a 35% discount on Bell services, and access to exclusive partner offers.
EEO StatementBell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know.
Privacy & AI UseArtificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.
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