Machine Learning Engineer

What is the opportunity?

Working within the Wealth Management Data and AI team, you will contribute to the productionization of machine learning solutions that are efficient and scalable, and the maintenance of data assets within the RBC on-prem and cloud infrastructure.

What will you do?

• Develop APIs and microservices to productionize proof-of-concept solutions developed by the Data Science team, optimize algorithms and prototypical solutions for efficient implementation

• Build and maintain automated data and ETL pipelines across databases and cloud environments, such as SQL server, Postgres, Elasticsearch, Redis, S3, snowflake, etc.

• Supporting applications and projects with infrastructure design decision, and monitoring solution

• Collaborate with an agile team to converge on the best end-to-end solutions

What do you need to succeed?

• Be a jack of all trades, with experience in data science and data engineering

• Be able to familiarize oneself with new data sets quickly

• Able to communicate effectively to the team

• Be curious about state-of-the-art technology and AI algorithms.

Must-have

• A bachelor's degree in computer science, Software Engineering, Statistics, or other STEM majors. Masters/PhD considered an asset.

• 2+ years of work experience within the data science and/or data engineering domain.

• Strong proficiency in Python and deep learning packages such as TensorFlow or PyTorch

• Strong proficiency in SQL, NoSQL

• Experience in productionizing and deploying ML-based applications/solutions in hybrid environments on-prem and major cloud environments, such as AWS and Azure

• Experience in orchestrating complicated data pipelines with large-scale datasets

• Ability to pick up new tools and frameworks quickly, including learning other programming languages as needed

Nice-to-have

• Experience with Agile software development and DevOps pipelines such as Jenkins, GitHub actions

• Experience in building applications with Generative AI, Large Language Models (LLM), and agentic systems.

• Experience and/or strong understanding of RESTful or GraphQL API design, database development, authentication (OAuth) management, and infrastructure components like Terraform, and OpenShift

• Experience with graph databases

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Flexible work/life balance options

• Opportunities to do challenging work

#LI-Post

#LI-Hybrid

#TechPJ

Job Skills

Additional Job Details

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.