AI-Driven ML Data Engineer - Hyper-Personalized Banking

RBC; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading financial institution is seeking a Machine Learning Data Engineer in Toronto. You will build and scale AI-driven systems to enhance client experiences and automate decision-making. This role involves managing the ML data lifecycle, collaborating on model production, and ensuring data quality. Candidates should have a Bachelor's degree in Computer Science and experience in Python, Java, and data engineering tools. A strong understanding of the ML data lifecycle is essential. Join a progressive team focused on impactful innovations.

Benefits

Comprehensive Total Rewards Program

Bonuses and flexible benefits

Supportive leadership

Qualifications

• 3+ years of professional experience as a data or software engineer.
• Hands-on experience using modern data and ML tooling.
• Experience with DevOps and CI/CD tooling like Jenkins.

Responsibilities

• Design and maintain scalable data pipelines for ML workflows.
• Collaborate to productionize models and create high-performing systems.
• Ensure data quality and governance in real-time client experiences.

Skills

Proficiency in Python

Proficiency in Java

Experience with Spark

Experience with Airflow

Collaboration

Data Engineering

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

AWS

Apache Kafka

Snowflake

Job description

A leading financial institution is seeking a Machine Learning Data Engineer in Toronto. You will build and scale AI-driven systems to enhance client experiences and automate decision-making. This role involves managing the ML data lifecycle, collaborating on model production, and ensuring data quality. Candidates should have a Bachelor's degree in Computer Science and experience in Python, Java, and data engineering tools. A strong understanding of the ML data lifecycle is essential. Join a progressive team focused on impactful innovations.