Join RBC as a MLOps Engineer and design high-performing ML pipelines. Focus on data preparation, model lifecycle management, and collaboration in a hybrid work environment.
This full time role combines your expertise in Python, cloud engineering, and MLOps to enhance financial risk model training and inference. You will leverage AWS and collaborate closely with data scientists and DevOps teams to create a scalable, reliable MLOps platform. This multifaceted position requires a strong foundation in machine learning lifecycle management.
Key Responsibilities:
• Design end-to-end MLOps pipelines for model development
• Automate model lifecycle workflows for efficiency
• Develop model registries for metadata management




• Orchestrate data workflows using Airflow or AWS tools
• Implement CI/CD pipelines for seamless deployment
Requirements:
• Bachelor’s degree in computer science or related field
• 3+ years of MLOps or software engineering experience
• 1+ year experience with AWS services
• Proficient in Python and PySpark scripting
• Understanding of Linux and shell scripting
Drive innovation in MLOps with RBC and contribute to secure, automated solutions in Vancouver.
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📌 MLOps Engineer for RBC's ML Platform (Vancouver)
🏢 Socket.dev
📍 Vancouver