Senior Data and Machine Learning Engineer

RBC

RBCx leverages RBC’s vast experience to support tech businesses in Canada. The Ownr platform simplifies entrepreneurship and is on a mission to become the leading resource for Canadian business owners. The company values employees highly and fosters a sense of belonging. This role involves working on data engineering and machine learning initiatives to drive strategic insights.

In this role you can expect to have the responsibilities:

• Develop and maintain scalable data pipelines and infrastructure.
• Collaborate with various teams to understand and provide data solutions.
• Ensure data quality and consistency through preprocessing and transformation.
• Implement best practices for data governance and compliance.
• Develop and deploy machine learning models for analytics.
• Stay informed about industry trends in data engineering and machine learning.
• Mentor junior team members and promote knowledge sharing.

This role comes with the following benefits:

• Comprehensive rewards program with bonuses.
• Leadership development opportunities.
• Collaborative and dynamic work environment.
• Opportunities for challenging work.

This role requires you to have:

• Proven data engineering experience.
• Proficiency in Python and SQL.
• Familiarity with cloud platforms and big data technologies like AWS, Hadoop, Spark.
• Strong software engineering principles.
• Experience with machine learning frameworks like TensorFlow and PyTorch.

You would benefit from having:

• Advanced degree in Software Engineering or related field.
• Experience with Docker, Kubernetes, and orchestration tools.
• Knowledge of distributed computing and DevOps practices.
• Contributions to open-source projects.
• Experience working with entrepreneurs.

RBC promotes diversity and inclusion, ensuring equitable workplaces. They offer accommodations for applicants with different abilities during the recruitment process.