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Mathematical Modeling jobs in Toronto, ON

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    • KUBRA HQ is KUBRA’s unified, AI-powered, cloud-native platform that brings together all of our billing, payments, and customer experience solutions under one…
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    • You design, build, and operate machine learning and GenAI systems that run in production and matter to the business.
    • Employee and Family Assistance program.
    • You will work across LLM-powered applications, agentic workflows, data-driven analytics, and domain-specific AI models, partnering closely with Product,…
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    • At least 1 year of experience applying strong analytical and mathematical skills to solve complex business problems.
    • Collaborates with model development, data, and validation teams to ensure alignment on modeling approaches and assumptions.
    • A Ph.D. degree in statistical science, mathematical analysis or related fields with at least 7 years of relevant experience.
    • Significant experience as a P&C actuary, including experience with climate risk modeling.
    • Hands on policy liability valuation, financial condition testing, IFRS…
    • Strong mathematical and analytical capabilities.
    • Foster a retail environment where selling and customer service excellence are top priorities through training,…
    • QMC is seeking an experienced AI Engineer to design and implement machine learning and AI-driven capabilities across our cloud-based utility data and IoT…
    • Support nonlinear actuator modeling for Transport Canada certification.
    • Aerospace industry experience in loads analysis and nonlinear modeling.
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    • Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio.
    • Lead the design, training, and scaling of transformer-based foundation models, translating business objectives into production-ready deep learning systems.
    • Quantitative modeling & analytics (ML/statistics to decision outcomes):
    • The Senior Manager, Unsecured Lending Portfolio Management plays a critical role in…
    • Proficiency in statistical modeling, time series analysis, and machine learning frameworks.
    • As a Data Scientist, you will be responsible for developing and…
    • Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario…
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Job Post Details

KUBRA logo

AI Engineer - job post

KUBRA
3.2 out of 5 stars
Mississauga, ON•Hybrid work
$110,000–$130,000 a year - Full-time

Job details

Pay

  • $110,000–$130,000 a year

Job type

  • Full-time

Location

Mississauga, ON•Hybrid work

Benefits

Pulled from the full job description

  • Tuition reimbursement
  • Paid vacation
  • RRSP match

Full job description

KUBRA HQ is KUBRA’s unified, AI-powered, cloud-native platform that brings together all of our billing, payments, and customer experience solutions under one scalable system. It serves as the foundation for KUBRA’s products — from payments and alerts to portals and analytics — enabling clients to manage the entire customer communication and billing journey seamlessly.
The AI Engineer is responsible for designing, building, and operationalizing intelligent systems that extract value from data and power AI-driven product capabilities. This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics.
The AI Engineer partners with Product, BI, and Data Engineering teams to establish AI and machine learning standards, architect scalable AI systems, and deliver measurable business impact across internal and customer-facing solutions.
This is a hybrid opportunity in Mississauga, ON.

How You’ll Contribute

  • Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
  • Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction).
  • Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
  • Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
  • Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
  • Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing.
  • Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.

Strengths That Shine in This Role

  • Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured AI and data solutions.
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to collaborate effectively across Product, Engineering, BI, and Data teams.
  • Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
  • Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
  • Professionalism and composure when operating under pressure or resolving production issues.

Skills That Matter in This Role

  • Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
  • Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration.
  • Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration).
  • Strong programming skills in Python & SQL, experience writing production-quality code
  • Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data platforms
  • Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable.
  • Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.

Why You’ll Love Working Here

Thrive in an award-winning culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards
  • Earn annual performance-based bonuses recognizing your contributions
  • Enjoy generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
  • Invest in your future with RRSP matching
  • Take time to recharge with paid vacation and sick days, and enjoy a paid day off for your birthday
  • Make a difference with two paid volunteer days to support causes you care about
  • Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
  • Feel appreciated through our employee recognition programs
  • Support your mental health with a free premium Headspace membership
  • Stay refreshed with unlimited access to fully stocked beverage stations
  • Save more with exclusive Perkopolis retail discounts
This position is bonus eligible.
At KUBRA, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

In accordance with Ontario employment legislation, this job posting is for an existing open vacancy.

KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing recruitment-team@kubra.com. Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.
#LI-AA1

While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program.
KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.
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