deep learning engineer jobs
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AI Engineer
Easily applyKUBRAMississauga, ON- $110,000–$130,000 a year
- Full-time
- Tuition reimbursement
- Paid vacation
- RRSP match
- Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development.
Founding AI Engineer
Easily applyArchesell TechnologiesVancouver, BC V7X 1M8- $100,000–$150,000 a year
- Full-time
- Paid time off
- Stock options
- Casual dress
- Work from home
- Embraces AI-native development workflows.
- Enjoys ambiguity and product building.
- Wants to help shape the future of AI-native enterprise software.
Founding AI Engineer
Easily applyArchesell TechnologiesVancouver, BC V7X 1M8- $100,000–$150,000 a year
- Full-time
- Paid time off
- Stock options
- Casual dress
- Work from home
- Embraces AI-native development workflows.
- Enjoys ambiguity and product building.
- Wants to help shape the future of AI-native enterprise software.
View similar jobs with this employerDraftKingsRemote- Full-time
- Mentor other engineers and help define best practices for machine learning system design, development, and deployment.
- Altus GroupToronto, ON M5E 1G4
- $200,000–$230,000 a year
- Full-time
- You will contribute to a culture of learning, curiosity, and technical excellence by mentoring engineers, sharing knowledge across teams, and helping strengthen…
- autoTRADER.caToronto, ON
- $180,000–$210,000 a year
- Employee assistance program
- You design, build, and operate machine learning and GenAI systems that run in production and matter to the business.
- Employee and Family Assistance program.
- Canadian National RailwayMontréal, QC H3B 2M9
- The ideal candidate will be a thinker with deep, demonstrable technical expertise in building and scaling end-to-end AI solutions, including Conversational AI…
- Sanofi EUToronto, ON M5R 3V5
- $144,100.00–$208,166.66 a year
- Extended health care
- Demonstrated experience leading small engineering teams and mentoring junior/mid-level engineers.
- Use your expertise to help reduce technical dependencies,…
Lead Scientist - Applied ML
Easily applyCanadian Tire Corporation, Ltd.Toronto, ON M4S 2B9- $79,000–$131,000 a year
- Full-time
- Tuition reimbursement
- Paid time off
- Vision care
- Dental care
- Life insurance
- Employee assistance program
- We offer competitive salaries and wages to CTC employees as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire…
View similar jobs with this employerautoTRADER.caToronto, ON- $180,000–$220,000 a year
- Employee assistance program
- Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-…
Sr. Data Scientist, Programmatic Algorithms
Easily applyUrgently hiringColor Mix Group of CompaniesToronto, ON M5H 1A1- $155,342.27–$179,034.73 a year
- Full-time
- Paid time off
- Vision care
- Dental care
- Employee assistance program
- Disability insurance
- Extended health care
- Partner with software engineers to integrate models into bidding systems.
- Understanding of auction theory, bid shading, or reinforcement learning for bidding.
View similar jobs with this employerAutoTrader.caToronto, ON- $180,000–$220,000 a year
- Employee assistance program
- Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-…
AI Development Team Lead
Easily applyMaya HTTMontréal, QC- Permanent
- Paid time off
- Vision care
- Dental care
- Disability insurance
- RRSP
- Strong background in deep learning (e.g., CNNs, transformers, detection/segmentation models).
- Drive industrial IP-building initiatives for modular technology "…
AI Engineer (RAG & LLM Systems)
Easily applyWISSEN TECHNOLOGY PRIVATE LIMITEDMontréal, QC- Full-time
- Monday to Friday
- Paid time off
- Vision care
- Dental care
- Life insurance
- Disability insurance
- Extended health care
- Required Experience: 5-10+ years.
- We are hiring an AI Engineer* with strong hands-on experience in RAG systems, LLM APIs, and AI agents.
AI Engineer Intelligent Systems & Analytics
Easily applyQMC Metering SolutionsNorth York, ON M3C 1Z3- Full-time +1
- Tuition reimbursement
- Paid time off
- Vision care
- Dental care
- Life insurance
- Employee assistance program
- Research-oriented and continuously learning.
- 5+ years of experience in machine learning engineering or applied data science.
- Knowledge of MLOps best practices.
View similar jobs with this employerSanofi EUToronto, ON M5R 3V5- $125,300.00–$180,966.66 a year
- Extended health care
- Deep knowledge of large language models, transformers, and modern deep learning architectures.
- Guide a multidisciplinary team of AI/ML scientists and engineers…
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Job Post Details
AI Engineer - job post
3.23.2 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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