Job Title: Senior Applied ML/AI Scientist - Search Company: Faire Job Category: Machine Learning Roles & Responsibilities: About The Role Search is how retailers do their jobs on Faire. Wholesale queries and retailer expectations look different from consumer e\-commerce and the right product depends on the store's category, price point, and aesthetic. When we get it wrong, it costs real money. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).* Additionally, hybrid in\-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.* Why you’ll love working at Faire * Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. * Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. * Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. * Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. * Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener\-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Work Location: Toronto, Ontario, Canada Availability: Full time

Job Title: Sr. Machine Learning Engineer Company: Workday Job Category: Machine Learning Roles & Responsibilities: We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun\-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. We operate at scale, hosting thousands of traditional ML models across sharded Ray Serve clusters and maintaining Workday's production model registry. Our platform consistently handles \~2,000 requests per second, peaking at over 10,000 RPS in our largest clusters. Scaling Architecture: Upgrading our systems to seamlessly support 20\+ new AI agents going into production. Performance \& Reliability: Architecting optimizations to drive down core latency while maintaining the rock\-solid stability our high\-throughput production systems demand. Enterprise Governance: Hardening our unified vendor interface and implementing advanced cost\-governance controls. Our culture is built on focus, camaraderie, and high performance. We are a friendly, dedicated group that takes pride in building and operating one of the most heavily used services at Workday. If you are energized by working on the infrastructure that sits at the very heart of Workday's AI strategy, this is the team for you. About the Role As a Senior Machine Learning Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and direction of the platform. You will play a central role in making critical design decisions, driving outcomes across the team, and setting a positive and inclusive team culture. Key Responsibilities \- * Lead the team technically by making critical design decisions that drive performance, reliability, and scalability across the platform. * Design, implement, and maintain large\-scale systems that enable moving ML models to production. * Write design documents to build consensus for new system components and enhancements to existing components. * Evaluate and uptake new technologies made available within Workday and across the broader industry. * Troubleshoot, improve, and scale continuous integration software pipelines. * Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams. * Respond to alerts and debug production issues to maintain platform health and reliability. * Review pull requests and enforce consistency, performance, readability, and security across code bases. * Develop documentation to share knowledge with other engineers. * Software Development and Distributed Systems: Deep experience designing, building, and scaling production\-grade distributed systems. You understand the full software development lifecycle \- from coding standards and testing to code reviews, source control, and deployment, and can apply that knowledge to complex, high\-throughput platforms. * Python: Deep proficiency in Python, with extensive experience writing production\-level code and building systems in Python\-based frameworks. * LLMs and Traditional ML Models: Familiarity with both large language models and traditional ML models, including how they are served, scaled, and monitored in production. You understand the operational differences and can design abstractions that serve both effectively. * Observability: You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost. * Communication: Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams. Mentorship: A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment. * If performed in Colorado, the pay range for this job is $171,600 \- $257,400 USD based on min and max pay range for that role if performed in CO. The application deadline for this role is the same as the posting end date stated as below: With Flex Work, we’re combining the best of both worlds: in\-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in\-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Work Location: Vancouver, Canada Availability: Full time

Job Title: Lead AI/ML Data Scientist - VP Company: Citi Job Category: Machine Learning Roles & Responsibilities: About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well\-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. About the Team: Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning capabilities powering enterprise\-scale reconciliation across global processing hubs. In this role, you will drive the full lifecycle of ML model development — from ideation and architecture through to deployment and adoption — delivering measurable impact across Capital Markets operations, risk, and finance. Your work will sit at the intersection of advanced data science and real\-world financial systems, influencing outcomes at a global scale. Responsibilities: * Design, build, and deploy AI and machine learning models — including Agentic AI and Generative AI solutions — to solve complex reconciliation and data engineering challenges at enterprise scale. * Lead the end\-to\-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration. * Analyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms. * Define and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards. * Translate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders. * Partner with engineering, operations, and cross\-functional teams to ensure seamless model integration, long\-term scalability, and reliable performance in production environments. * Identify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels. * Maintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams. This job description provides a high\-level review of the types of work performed. Other job\-related duties may be assigned as required. Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision\-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Work Location: Mississauga, Ontario, Canada Availability: Full time

Job Title: 2027 Graduate Program, Technology Services - Emerging AI and Data Solutions Company: Bell Job Category: Machine Learning Roles & Responsibilities: We believe in empowering people. That’s why we equip our teams with cutting\-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on \#TeamBell. Launch your career at Bell and join the best\-in\-class Internship/Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real\-world skills and join other interns and grads attending exclusive events and networking opportunities. * Accelerate your growth in a 24\-month rotational program, shifting from a foundational role to a second placement to broaden your technical and leadership experience. * Explore complex enterprise datasets, perform advanced exploratory data analysis, build predictive machine learning models and AI agents that optimize business operations * Build, test, and scale production\-grade ML and Generative AI applications using MLOps best practices (CI/CD, monitoring, and automation). * Design and maintain scalable ETL pipelines and data models across structured and unstructured repositories. Collaborate with cross\-functional teams to support project delivery, technology modernization, and strategic initiatives. * Apply data\-driven analysis and systems thinking to address complex challenges, continuously evaluating and leveraging cutting\-edge AI tools, emerging deep learning frameworks, and modern cloud data platforms to drive solution quality. Additional Information Position Type: Management At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong. Bell 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. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us. Work Location: Montreal, Quebec, Canada Availability: Full time

Job Title: Senior AI/ML Engineer Company: RBC Job Category: Machine Learning Roles & Responsibilities: Job Description What is the opportunity? Are you a creative, results\-driven professional passionate about delivering high\-performing AI solutions? Join our collaborative and innovative team within Global Payments Technology, where your ideas and contributions are valued. Global Payments Technology is part of RBC’s Technology and Operations division, collaborating with partners across the company to deliver innovative IT solutions. Our clients span various departments, including Risk, Finance, HR, and more. We lead the development of digital tools and platforms to enhance collaboration and are known for our culture of innovation, inclusivity, and collaboration. This role is part of the Global Payments Technology team, focusing on building AI agents powered by AI and Large Language Models (LLMs) to deliver value within the Global Payments domain. What will you do? * Develop and train AI models, including LLMs, to create intelligent agents for various use cases. * Collaborate with the team to design and implement AI solutions for anomaly detection and payments process automation. * Preprocess and analyze data to ensure model accuracy and performance. * Deploy and monitor AI models in production environments. * Contribute to research and development of new AI techniques and technologies. * A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable * Leaders who support your development through coaching and managing opportunities * Ability to make a difference and lasting impact * Work in a dynamic, collaborative, progressive, and high\-performing team * Flexible work/life balance options * Opportunities to do challenging work * Opportunities to take on progressively greater accountabilities * Access to a variety of job opportunities across business Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above* Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Work Location: Toronto, Ontario, Canada Availability: Full time

Job Title: Scientific Data Specialist - (991838.1) Company: University of Victoria Job Category: Machine Learning Roles & Responsibilities: Posting Close Date 1 November 2026 Please note that positions will close at 4 p.m. on the closing date. FTE 1\.0 Salary Grade $84,211\.00 \- $109,532\.00 Additional Posting Information N/A Salary posted will be pro\-rated based on FTE and achieved as per the collective agreement, if applicable. Classification SG12 Start Date 11/16/2026 End Date 3/31/2029 Employee Group: PEA \- Term \# of Hires Needed 1 Category Science About this Opportunity ONC seeks a skilled individual for the role of Scientific Data Specialist. The successful candidate will have an M.Sc. or (ideally) a Ph.D. in a relevant science or engineering discipline. The Scientific Data Specialist will be a key contributor to our Data Analytics and Quality team, driving innovation through the application of advanced computational techniques to complex oceanographic datasets. This role is essential for transforming raw data into actionable insights and valuable data products that support both scientific research and operational needs. We are looking for a creative problem\-solver with a passion for ocean science and a background in machine learning. General experience with Oceanographic Scientific Device Data, Quality Assurance / Quality Control processes and standards, AI\-driven Innovation, Data Product Generation, Research Data Management, User Support and Tool Development are welcome. Expertise in complex oceanographic data, broadly geophysics, and particularly acoustics, tends to align very well with this position. Equity Statement: UVic is committed to upholding the values of equity, diversity, inclusion and human rights in our living, learning and work environments. In pursuit of our values, we seek members who are eager to actively participate in that shared responsibility. We actively encourage applications from members of historically and systemically marginalized groups. Accessibility Statement: If you anticipate needing accommodations for any part of the application and hiring process contact: uviccareers@uvic.ca Any personal information provided will be maintained in confidence. Work Location: Victoria, BC, Canada Availability: Full time

Job Title: Research Methods Specialist - Education Evaluation Company: CAMH Job Category: Machine Learning Roles & Responsibilities: Responsibilities The Research Methods Specialists will build and implement evaluation plans for community\-based and system change initiatives, using a variety of different evaluation tools (such as logic models, theories of change, evaluation frameworks, data support systems and monitoring reporting tools). In particular, the RMS will work to design rigorous evaluations constructs to measures and track the progress of Collaborative Learning College (CLC) using both quantitative and qualitative methodologies. Using principles of co\-production, the work will include to develop evidence\-based measures, conduct scoping reviews, and collect, analyze \& disseminate process and outcome data through surveys, focus groups, and other methods in consultation with CLC stakeholders. The RMS will also be involved in supporting the development of a single database for all education evaluation data, conducting natural language processing and artificial intelligence informed algorithms, conducting predictive modelling and using similar data science techniques/ models to measure broader education outcomes for quality improvement, communication and dissemination. CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto. As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital. Work Location: Toronto, Canada Availability: Full time

Job Title: Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation) Company: TD Bank Job Category: Machine Learning Roles & Responsibilities: Work Location: Job Description: \Department Overview* * Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets. * Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets. * In depth knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management. * Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models. Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements. * Work in Distributed Cluster / Cloud environments with large\-scale datasets ranging from transactions to large document collections. * Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable. * Conduct R\&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability. Communicate findings and recommendations to both technical and non\-technical stakeholders. * * Publications in the relevant conference and journals are a plus. * Ability to implement AI/ML algorithms from academic research papers is a plus. We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Work Location: Toronto, Canada Availability: Full time

Job Title: Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN Company: American Express Job Category: Machine Learning Roles & Responsibilities: Job Description American Express is seeking innovative and motivated graduates to join Enterprise Technology Services as an AI Engineer I focused on AI Security Research. In this full\-time role, you will contribute to the development, evaluation, and deployment of AI\-enabled solutions that enhance cybersecurity capabilities, software engineering productivity, and enterprise security operations. In this role, you may support initiatives involving AI security, agentic AI, generative AI, AI\-powered cybersecurity solutions, application security, cloud security, automation, and secure software development practices. Responsibilities Enterprise Technology Services teams build and operate technology that helps American Express deliver secure, reliable, and customer\-first products and services globally. The AI Security Research Team Evaluates Emerging AI And Cybersecurity Technologies, Develops Innovative Solutions, And Investigates How Artificial Intelligence Can Be Applied Safely And Responsibly To Improve Security Outcomes. The Team Collaborates Across Engineering, Product, Risk, And Cybersecurity Organizations To Advance Enterprise Capabilities While Maintaining Strong Governance, Privacy, And Security Standards. You Can Expect To * Design, develop, test, and maintain AI\-enabled applications, services, and automation solutions. * Build software components, prototypes, and proof\-of\-concepts using Python and other modern programming languages. * Develop and integrate AI models, LLM\-powered applications, AI agents, APIs, and workflow orchestration solutions. * Collaborate with cybersecurity engineers and researchers to evaluate AI applications for threat detection, security automation, vulnerability management, and software engineering use cases. * Participate in technical research, experimentation, benchmarking, and solution evaluation activities. * Analyze data, experimental results, and performance metrics to identify opportunities for improvement. * Contribute to software design reviews, code reviews, testing activities, and Agile delivery processes. * Create technical documentation, implementation plans, solution designs, and research findings. * Apply responsible AI, security, privacy, governance, and compliance practices throughout the software development lifecycle. * Partner with engineers, architects, product teams, and business stakeholders to deliver innovative enterprise solutions. Preferred Qualifications * Internship, co\-op, research, or project experience involving software development, AI, machine learning, cybersecurity, or cloud technologies. * Experience building AI applications, intelligent assistants, agentic workflows, or automation solutions. * Familiarity with LLMs, prompt engineering, embeddings, retrieval\-augmented generation (RAG), tool calling, or orchestration frameworks. * Exposure to cybersecurity concepts such as threat modeling, vulnerability management, secure coding, security testing, or cloud security. * Familiarity with APIs, cloud platforms, containers, development tools, and software integration patterns. * Experience participating in hackathons, open\-source projects, research programs, or technical competitions. * Understanding of responsible AI, data privacy, governance, and secure software development practices. * Strong initiative, attention to detail, and willingness to take ownership of deliverables. About Us At American Express, our culture is built on a 175\-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world\-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well\-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. * Competitive base salaries * Bonus incentives * Support for financial\-well\-being and retirement * Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * Generous paid parental leave policies (depending on your location) * Free access to global on\-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities Work Location: Toronto, Ontario, Canada Availability: Full time

Job Title: GIS Analyst - Alberta Company: Dillon Consulting Limited Job Category: Machine Learning Roles & Responsibilities: About Dillon Dillon Consulting Limited (Dillon) is a proudly Canadian, 100% employee\-owned professional consulting firm specializing in planning, engineering, environmental science, and management. With over 25 offices and more than 1100 employees across Canada, we offer a wide range of services related to building and improving facilities and infrastructure, protecting the environment, and developing communities. At Dillon, we strive to remain at the forefront of technology and innovation and thrive on interdisciplinary collaboration, empowering our people to challenge conventional thinking and build careers focused on creating a lasting impact in our communities. We are committed to ongoing professional development and celebrate the unique perspectives that each team member brings to the table. Employee ownership is available to all Dillon team members, and over 60% of our employees own shares in Dillon. Through employee ownership, we return the financial benefit created by our project work to the very people who created that value. Because we are an employee\-owned firm, your voice will be an essential part of our shared success. Responsibilities -------------------- * Collaborate with multidisciplinary project teams including planners, engineers, scientists, and technologists * Contribute to the development and management of existing and innovative technical systems, standards, and procedures to maintain a high standard of efficiency and quality in products and services * Provide GIS technical support related to GIS components of operational projects (internal and external) including data management, spatial analysis, and visualizations in various GIS and data management software (e.g. ArcGIS, Tableau, and Power BI) * Provide innovative and efficient web tool architecture and design that can be used across multidisciplinary areas * Apply programming and coding skills to assist with project and data resolution management, enhance web applications through the development of additional functionalities and components, and develop automated reporting tools * Develop, implement, and maintain related coding procedures and policies specific to GIS Web Applications throughout the development life cycle, ensuring adherence to organization standards and user requirements. (e.g. ArcGIS Enterprise and ArcGIS Online) * Test, review, analyze, optimize, and monitor Web GIS Portal systems/tools and internal processes for enhanced efficiency, effectiveness, and to uphold optimal functionality and performance * Conduct comprehensive research and assess a range of GIS software solutions to enhance the development and management of existing and innovative technical systems, tools, and applications * Proficient in data compilation, relational database design, and extract, transform, and load (ETL) processes * Designing custom data collection tools and models with automated reports * Using statistics and machine learning principles to manipulate data and present results from large datasets * Understanding of spatial analysis, spatial statistics, remote sensing, and working knowledge of ESRI analysis tools (Network Analyst, Spatial Analyst, 3D Analyst) * Development of mobile applications (Survey123, Collector, Field Maps) and ArcGIS Online web applications * Demonstrated abilities in multidisciplinary project teamwork and coordination * Proficient in the writing of technical reports * Strong interpersonal, verbal, and written communication, and organizational skills * Working knowledge of the following programs and programming languages would be considered an asset: AutoCAD, Pix4D, Power BI, CityEngine, Python, ArcPy, JavaScript, and Arcade Technology enablement and the use of AI at Dillon Please be advised that Dillon uses AI\-assisted tools to support aspects of our recruitment process to increase efficiency and fairness. While AI supports the process, all hiring decisions are made by our human recruiting team. By applying, you acknowledge and consent to this use. Work Location: Calgary, AB, Canada Availability: Full time