Sr. M/L Developer

Canada
Permanent
Full-time

14 days ago

About the opportunityWe 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 Computer Science, Engineering, or a related field
6 years of overall development experience
At least 2+ years of experience in machine learning and AI software development
Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-Learn
Experience with cloud platforms such as AWS, GCP, or Azure and their machine-learning services
Strong understanding of machine learning fundamentals, such as supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing
Comfortable coding against backend technologies including MSSQL, NoSQL, Delta Tables and related technologies such as GraphQL and Pyspark
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders

Ceridian

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