Data & ML Engineer

RBC

RBC's Personal Banking organization is on the lookout for a Data & ML Engineer to bolster its Next Best Action team. This dynamic unit is pivotal in orchestrating marketing strategies and experiments that cater to banking clients. The role involves synergizing with technology spheres across the bank, enhancing a versatile ecosystem composed of data pipelines, machine learning models, and microservices. It offers an intriguing blend of startup agility within a robust corporation, ideal for those eager to delve into production systems in marketing.

In this role you can expect to have the responsibilities:

• Enhance scalability and reliability of machine learning processes.
• Collaborate on data-driven solutions to optimize end-to-end machine learning workflows.
• Explore and integrate new technologies to drive innovation.
• Oversee data pipelines and user interfaces for client decision support.

This role comes with the following benefits:

• Comprehensive Total Rewards Program with bonuses and flexible benefits.
• Supportive leadership with development opportunities.
• Impactful work that provides personal and community growth.
• Collaborative and high-performing team environment.
• World-class training program in financial services.

This role requires you to have:

• 3+ years in software engineering with languages like Java, Python, or Scala.
• Proficiency in SQL and relational databases.
• Experience with machine learning models and applications.
• Ability to simplify and automate processes.
• Familiarity with big data processes such as Spark or Airflow.

You would benefit from having:

• Experience with public cloud platforms and multi-cloud environments.
• Understanding of software engineering and user-focused solution design.
• Knowledge of other database technologies like NoSQL.
• Experience with continuous integration and development tools.
• Background in mobile or web development.
• Experience in the financial services industry.

RBC values diversity and inclusivity, striving to create an equitable work environment. The company is dedicated to eliminating systemic bias and supports diversity among its talents, clients, and communities. Accommodations are available for prospective employees throughout the recruitment process.