Found Description
Elevate your career as a Full Stack Data & ML Engineer with RBC in Toronto. Contribute to transformative data solutions and collaborate with innovative teams.
In this role, you will enhance the existing machine learning systems while delivering robust data-driven solutions. Working full-time, you'll be responsible for monitoring ML development quality, managing data pipelines, and researching advanced technologies to foster innovation. Your collaboration will span technology and business partnerships to achieve impactful results.
Key Responsibilities:
• Develop scalable machine learning systems for reliability
• Ensure data quality across ML development phases
• Optimize data pipelines and UI for decision-making
• Research modern technologies like Agentic AI
• Collaborate with business stakeholders for best practices
Requirements:
• 2+ years in software engineering with relevant languages
• Experience with...
In this role, you will enhance the existing machine learning systems while delivering robust data-driven solutions. Working full-time, you'll be responsible for monitoring ML development quality, managing data pipelines, and researching advanced technologies to foster innovation. Your collaboration will span technology and business partnerships to achieve impactful results.
Key Responsibilities:
• Develop scalable machine learning systems for reliability
• Ensure data quality across ML development phases
• Optimize data pipelines and UI for decision-making
• Research modern technologies like Agentic AI
• Collaborate with business stakeholders for best practices
Requirements:
• 2+ years in software engineering with relevant languages
• Experience with...