About the Prospect

We are looking for a Senior ML Developer to join the Dayforce Labs team that is working on developing AI solutions within the company. The Senior ML Developer has an opportunity to join a team of strong developers and work on high-visibility and high-impact products. The ideal candidate has strong technical skills and a desire to stay up to date with advances in new and emerging 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 Product Managers and Dayforce personnel to envision and deliver the required functionality.

If you are a technology enthusiast, have a passion for creating great software, and want to see your work utilized by millions of people around the world, we want to talk to you.

What You'll Get to Do Lead the iterative development, validation, and deployment of AI/ML models.

Collaborate on end-to-end automation efforts required to bring models to production.

Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights.

Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization.





Build and maintain strong engagement with key stakeholders to understand business needs and priorities.

Contribute to the engineering process and culture.

Skills and Experience We Value Four or more years of hands-on experience in Machine Learning and Data Science, specializing in classification, clustering, time series analysis, encoder-based transformer models, explainability, and optimization.

Advanced familiarity with SQL and Spark/PySpark.

Two or more years of experience and knowledge in MLOps, including deploying, operationalizing, maintaining, and monitoring scalable AI/ML solutions in production.

Advanced proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, MLflow, and libraries commonly used in NLP and Generative AI.

Advanced proficiency in data cleaning and data transformation.

Proven ability to debug, analyze, and profile existing code.

Excellent collaboration and communication skills.

Strong analytical and problem-solving abilities.

What Would Make You Stand Out

Experience with infrastructure design and deployment utilizing Azure and cloud offerings for the implementation of data pipelines, including Azure SQL, Function/Logic Apps, Key Vault, Storage Accounts, Virtual Machines, Azure Monitor, and Log Analytics.

Experience with Databricks.

📌 ML Developer, Sr. (Canada)
🏢 Dayforce
📍 Canada