Sr. M/L Developer

Skip to Content Sign In Sr. M/L Developer Req #23628 Canada Apply Share Job Description Posted Tuesday, March 31, 2026 at 9:00 PM | Expires Monday, June 1, 2026 at 8:59 PM Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. Effective November 1, 2025 this position is not open to residents of Quebec; applicants must reside in a province or territory of Canada other than Quebec to be considered. Any roles available in Quebec will be posted separately. About the opportunity We are looking for a Senior ML Developer to join the team that is building Dayforce AI Assistant that is at the spotlight across our features. The Sr. ML Developer has an opportunity to join a team of strong developers and work on a high visibility and high impact product - you will change the way millions of customers globally interact with our product on a day-to-day basis across 150+ countries. The ideal candidate has strong technical skills and a desire to keep up to date with advances in big data technologies. Your impact will be evident through your effective participation in the entire lifecycle of our software including design, analysis, prototyping, development, testing and support of our products. You will work closely and collaborate with clients, prospects, implementation partners, and Dayforce personnel to envision and deliver the required functionality. What you'll get to do Develop and implement overall programming including frontend, middle tier and backend solutions in React, Python and a potential mix of databases including SQL, Delta Tables and others Develop and implement machine learning models and algorithms that meet business needs and requirements Apply machine learning techniques to large datasets to identify trends, patterns, and insights Select, fine-tune, and evaluate large language models (LLMs) using domain-specific data to support intelligent product features Work with DevOps and MLOps teams to containerize, deploy, and monitor ML components using tools such as Docker, Kubernetes, and model registries  Participate in research and development of new machine learning techniques and technologies Create and manage vector search infrastructure to support semantic search, document retrieval, and memory for LLMs Work collaboratively with other developers, data engineers and data scientists to build data pipelines and data processing workflows  Mentor junior machine learning engineers and provide technical leadership in the team Stay up-to-date with the latest developments in machine learning and AI technologies and their applications AI-accelerated engineering (a core & critical part of the job) Use AI tools (e.g., Copilot, Claude, GitHub Copilot Agents, IDE agents) to increase throughput across design, implementation, testing, refactoring, and debugging - without compromising correctness, maintainability, or security. Establish practical organizational patterns for AI-assisted development: AI-assisted scaffolding + human review AI-generated test suites and regression harnesses Fast refactors with automated verification Agentic workflows for repetitive engineering tasks (migrations, API clients, docs, runbooks) Apply secure and responsible usage with no sensitive data leakage, strong review discipline, and traceable change sets. Help define repeatable AI-enabled engineering practices that improve the speed, quality, and effectiveness of the team and broader organization. Skills and experience we value Bachelor's or Master's degree in Co ... (truncated, view full listing at source)