Senior Manager leading the development of AI agents for HR and Finance at Workday. Building and mentoring a high - performing engineering team to deliver scalable AI solutions.
About the role
- Machine Learning Software Engineer II at RBC Borealis responsible for ML solutions development and collaboration with research teams. Handling data pre-processing, algorithm building, deployment, and monitoring of ML systems.
Responsibilities
- To build cutting edge ML solutions throughout the research and product development lifecycle
- To play a key role in the design and development of Borealis’ machine learning products
- To partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products
- To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems
- To support projects with thorough documentation, design decisions, and technical advisory
Requirements
- A degree in Computer Science, Software Engineering, or equivalent field
- 5+ years of experience as a software engineer
- Experience building modular and robust software systems in Python or similar language
- Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management
- Experience working across the entire ML research and product lifecycle from prototyping to production is a plus
- Experience building microservices, data pipelines and using relational and non-relational databases is a plus
- Experience working with data science tooling and deep learning frameworks is a plus
- Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- Competitive compensation
- Commissions and stock options where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact from a local-to-global scale
Job title
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