AI/ML Engineer

Overview Create value at TC Transcontinental. At TC Transcontinental, we've got it made, and that's because of the expertise of our team. We have been driving innovation since 1976. Founded 50 years ago and 4,000 employees strong, Transcontinental Inc. (TSX: TCL.A TCL.B), known under the TC Transcontinental brand, is a Canadian retail marketing services company, Canada's largest printer, and the Canadian leader in French-language educational publishing. Driven by the vision of a more informed, educated and prosperous society, TC Transcontinental propels its clients' success across the retail, education, book and information industries. With agility, creativity and boldness, we design and deliver innovative, high-value products and services. We are looking for an AI/ML Engineer to work on building a multi-tenant, AI-driven promotional content platform for our customers. This is a hybrid position, at our Mississauga offices. This position is currently open and reflects a new position created to support organizational growth. The salary range for this position is $110,000 to $125,000 per year, commensurate with experience, education, and internal equity. This range is provided to ensure clarity and promote equitable access to employment opportunities. Responsibilities When your actions lead to success: Engineering Design and build machine learning and generative AI components that integrate with our data platforms and infrastructure, built for automation, reliability, and operational efficiency. Write clean, maintainable production code for our ML and LLM services and keep them straightforward to deploy and scale. Take part in the ongoing development of our existing AI solutions: implementing changes, improving the architecture, and reviewing pull requests. Work with large, real-world datasets, from extensive document collections to promotional product data. Business rules and configuration Analyze incoming business requirements and translate them into the platform’s rules and configurations. Work out data conventions from real feeds when stakeholders cannot fully articulate them. Spot conflicts between rules, propose trade-offs, and work with stakeholders to keep the overall rule system coherent. Configure how content is rendered and laid out so it matches each of the customers style guides and production artwork. Prompt engineering and LLM quality Design and iterate on LLM prompts and few-shot examples for copywriting, brand extraction, and translation. Evaluate prompt and model changes systematically so quality improvements are measured, not assumed by feel. Maintain the curated reference data that grounds LLM outputs. Validation and growth Test generated output against real data, review it with content and business stakeholders, and iterate until the results meet the bar. Keep learning: explore new techniques and advanced AI topics with a team that shares knowledge freely. Qualifications When your expertise drives us: Bachelor’s or master’s degree in computer science, statistics, mathematics, engineering, or a related field 5+ years of professional experience in software engineering 2+ years of experience with GenAi/LLMs Solid grounding in machine learning and deep learning Strong Python knowledge Hands-on experience with LLMs: prompt design, few-shot examples, structured outputs, and evaluating the effect of prompt and model changes The ability to turn ambiguous business rules into precise, maintainable logic You care about good software design, notice the small details in code and API design, and take pride in building systems that are robust and scale well You hold yourself accountable for what you ship and communicate clearly and with empathy, including with non-technical stakeholders Preferred qualifications Strong asset: A research background or publication record. Working familiarity with .NET (C#) Hands-on experience with PyTorch, TensorFlow, JAX, LangGraph, or a comparable library Experience building and scaling data-intensive systems Experience with templating and configuration-driven systems (Jinja2, YAML) Azure ecosystem: Azure OpenAI, Blob Storage, Service Bus, Key Vault ML experiment tracking and evaluation tooling such as MLflow Familiarity with print production or design automation workflows French language skills (our output is bilingual, English and French) and retail merchandising domain knowledge When benefits really help you live better: We offer a comprehensive and flexible benefits package designed to support your well-being and help you thrive—at work and at home. Our offerings include: Competitive compensation with performance-based incentives and retirement savings plans with company match Customizable group benefits including health, dental, life, disability, and travel insurance Paid time off Employee perks such as discounts on insurance, wireless plans, travel, and more Career development opportunities A dynamic, inclusive work environment where your voice matters and your growth is supported EEO TC Transcontinental is committed to fair, transparent, and equitable hiring practices. We disclose that no artificial intelligence (AI) tools or automated decision-making systems are used in our recruitment or selection process. TC Transcontinental is an equal opportunity employer committed to fostering a diverse, inclusive, and accessible workplace. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other characteristic protected by applicable laws in the jurisdictions where we operate. We are also committed to providing an inclusive and barrier-free recruitment and work environment—promoting dignity, independence, integration, and equal opportunity for all, including persons with disabilities. Accommodations, including alternative formats, will be made available for all parts of the recruitment and selection process. For more information or to request an accommodation please contact [email protected]. Send us your application. Create something with TC Transcontinental.

Design and build machine learning and generative AI components that integrate with data platforms to ensure automation and operational efficiency. Analyze business requirements to translate them into platform rules while iterating on LLM prompts to maintain high-quality output.

Requires a bachelor's or master's degree in a technical field and at least 5 years of professional software engineering experience. Candidates must have 2+ years of experience with GenAI/LLMs and strong proficiency in Python.

• Competitive compensation • Performance-based incentives • Retirement savings plans • Health insurance • Dental insurance • Life insurance • Disability insurance • Travel insurance • Paid time off • Employee perks

• Microsoft AzureSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Machine Learning
• Generative AI
• LLMs
• Prompt Engineering
• Deep Learning
• Software Engineering
• Data Analysis
• API Design
• System Architecture
• Automation
• PyTorch
• TensorFlow
• JAX
• LangGraph
• Azure
• Empathy
• Style Guides
• Operational Efficiency
• Domain Knowledge
• Langgraph
• Workplace Inclusivity
• Generative Artificial Intelligence
• Pull/Merge Requests
• Print Production
• MLflow
• Workflow Management
• Copywriting
• Time Off Management
• Bilingual (French/English)
• Azure OpenAI
• Machine Learning Model Monitoring And Evaluation
• Quality Improvement
• .NET Framework
• Research
• Artificial Intelligence
• Microsoft Azure
• Business Requirements
• C# (Programming Language)
• Decision Making
• Communication
• Computer Science
• Creativity
• Engineering Design Process
• Equities
• French Language
• Marketing
• Innovation
• Python (Programming Language)
• Mathematics

• Technology
• Software
• Data & Analytics
• Engineering
• Retail
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

12 août 2027

Langue de l’offre

anglais

Heures de travail

40 heures par semaine