KUBRA
AI Engineer
Mississauga, ON
Sponsorship not specifiedCAD 110k-CAD 130kDetected 133 days ago
PythonSQLAWSCI/CDMachine LearningData EngineeringData ScienceLLMsRAGA/B TestingCommunicationProblem SolvingOrganizational Skills
About the role
- This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics.
- This is a hybrid opportunity in Mississauga, ON.
- Why You'll Love Working Here - Thrive in an award-winning culture that champions growth, embraces diversity, and fosters inclusion for all.
Responsibilities
- 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.
- 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.
- 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.
- Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
Skills
- 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
- Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.
- 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
- Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
Compensation
- Earn annual performance-based bonuses recognizing your contributions
Benefits
- Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
- Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration.
- Support your mental health with a free premium Headspace membership
Visa & Work Authorization
- 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 perma
This listing is sourced directly from KUBRA's careers page and normalized into a canonical job model.