Job Description

What is the opportunity?

As an experienced ML engineer, you will be responsible for building and managing ML and/or data platforms and pipelines for Data Science with appropriate data governance and security. You will work with data scientists and peer data engineers to actively solve business problems and delivering value using agile methodology. You will work with technical and business stakeholders to build and maintain an optimized and scalable ML / data pipeline. You will participate in the architecture review and approval process. You will also be responsible for working closely with data scientists in the area of data ingestion and feature engineering, establishing coding best practices, maintaining and managing technical documentation and incident triaging and resolution.

What will you do?

As part of the ML / Data Engineering team, you will work on creating, developing and managing ML pipelines from experimentation to deployment of Data Science products. You will also be responsible for data sourcing, lineage, quality, transformation and storage. Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms Collaborate with Data scientists, Process Engineers and Business Stakeholders to develop ML / data pipelines, and assist with prescriptive and predictive analytics through consolidated data Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. Omni-Channel reporting, Gamification/Visualization). Prepare data to be used for diagnostic/descriptive reporting and data science work. Identify and resolve data movement/transformation/processing bottlenecks Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners. Mentor junior team members

What do you need to succeed?

Must Have:

Bachelor's degree in Computer Science, Engineering or equivalent from an accredited university 5+ years experience in building end to end ML and data pipelines Demonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutions Advanced SQL knowledge and experience working with relational databases Experience in developing scalable, configurable applications using Python and application frameworks Knowledge of relevant security considerations for applications on cloud Knowledge of VMs and various MLOps platforms such as WandB, AWS SageMaker Knowledge of AWS 4+ years of hands-on experience in following key areas:

+ Data engineering solutions: Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Scala
+ API: Flask, Node.JS, Django, and Microservices technologies
+ Automation/DevOps: Github Actions, Airflow, UCD, Selenium and similar technologies
+ Cloud technologies: Openshift, PCF, Docker, Kubernetes
+ Git & code version management

Nice to Have

Graduate degree in Computer Science, Engineering, or equivalent Supervised and Unsupervised Machine learning, Gen AI, Knowledge Graphs, Graph Database and Natural Language Processing Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration Experience working in agile environment Tableau

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 Opportunities to do challenging work.

#LI-Post


#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CHIEF LEGAL & ADMIN OFFICE GRP

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-10-06

Application Deadline:

2025-10-20

Note

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

I

nclusion

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.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.