ML Developer, Sr.

Dayforce; Canada; On-site; CAD 120,000 - 180,000; Full time

Job summary

Dayforce is seeking a Senior ML Developer to join the Dayforce Labs team on AI solutions. You will lead end-to-end lifecycle from design to production, collaborating with Product Managers and Dayforce personnel to deliver required functionality.

Four or more years in ML/DS, strong Python and ML frameworks (PyTorch, TensorFlow, MLflow), and MLOps experience are essential. Expect to build predictive models, dashboards and insights for global stakeholders.

Qualifications

• 4+ years in ML/DS with focus on classification, clustering, time series, transformers, explainability, and optimization.
• Advanced familiarity with SQL and Spark/PySpark.
• 2+ years in MLOps: deploying, operationalizing, maintaining, and monitoring production models.
• Strong Python skills and experience with PyTorch, TensorFlow, MLflow and NLP/Generative AI libs.
• Proficient in data cleaning and transformation; able to debug and profile code.
• Excellent collaboration and communication skills; strong problem solving.

Responsibilities

• Lead the iterative development, validation, and deployment of AI/ML models.
• Collaborate on end-to-end automation to bring models to production.
• Work with structured and unstructured data to design predictive models, metrics and dashboards.
• Visualize and report data findings in multiple visual formats for stakeholders.
• Engage with key stakeholders to understand business needs and priorities.

Skills

ML algorithms

Data Science

Python

NLP/Generative AI

Debugging/Profiling

Collaboration

SQL

Spark/PySpark

MLOps

Model Evaluation

Tools

PyTorch

TensorFlow

MLflow

Databricks

Azure

Job description

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.

About the Opportunity

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.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

This job posting is for an existing vacancy

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process