Senior ML Developer

RBC; Vancouver; On-site; CAD 100,000 - 130,000; Full time

Job summary

RBC is seeking a Senior ML Developer to join their Vancouver Innovation hub. In this role, you'll contribute to the development of cutting-edge risk management solutions, working with advanced machine learning techniques and collaborating closely with a dynamic team to enhance business outcomes.

Qualifications

• 5+ years experience in applied machine learning, Data scientist roles.
• Familiarity with cloud platforms like AWS, Azure, Google Cloud.
• Strong software engineering principles including coding standards and debugging.

Responsibilities

• Develop and train machine learning models using various algorithms.
• Deploy and maintain machine learning models in production environments.
• Design and implement pipelines for data ingestion, preprocessing, and model training.

Skills

Big Data Management

Data Mining

Data Science

Deep Learning

Machine Learning

Predictive Analytics

Programming Languages

Education

Advanced Degree in Computer Science, Engineering or a related Quantitative field

Tools

Python

SQL

TensorFlow

PyTorch

Job description

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Job Summary

What is the opportunity?

Market and Counterparty Credit Risk IT provides technology solutions to support Group Risk Management in their management of Market and Counterparty Credit Risk.

We are building a team that embraces innovation and enthusiasm to bring a fresh perspective. We’ve been on a journey to build out high performing, highly resilient, real time risk control platforms that can grow with the continuous demands on Market & Counterparty Credit Risk, and support RBC’s Business goals.

We’re looking for a talented and passionate Senior ML Developer to join our Vancouver Innovation hub. You will work in an agile team to deliver high performing applications built on a cloud platform and streaming technologies. We believe in continuous growth and expanding your capabilities. Join our team today and have a big impact influencing the strength of RBC’s risk management.

Job Description

Responsibilities :

Design and Implementation :

• Develop and train machine learning models using various algorithms.
• Design and implement pipelines for data ingestion, preprocessing, and model training.
• Build and maintain infrastructure for model deployment and monitoring.
• Demonstrate full stack capability and willingness.

Collaboration and Communication :

• Work closely with data scientists, product managers, and other engineers to understand business needs and translate them into ML solutions.
• Communicate technical findings and recommendations to both technical and non-technical audiences.
• Contribute to the development of internal standards and best practices for ML development.

Productionization and Scalability :

• Deploy and maintain machine learning models in production environments.
• Ensure the scalability, reliability, and performance of ML systems.
• Develop and implement CI / CD pipelines for ML workflows.

Innovation and Experimentation :

• Stay up-to-date with the latest advancements in machine learning and related technologies.
• Experiment with new techniques and algorithms to improve model accuracy and efficiency.
• Contribute to the development of new ML-powered features and products.

Required Skills :

• Education : Advanced Degree in Computer Science, Engineering or a related Quantitative field. 5+ years experience in applied machine learning, Data scientist roles.
• Programming Languages : Proficiency in Python, SQL and possibly other languages like Java.
• Machine Learning Frameworks : Experience with deep learning frameworks like TensorFlow or PyTorch, and other libraries like scikit-learn.
• Data Manipulation and Visualization : Expertise in cloud tools for manipulating and visualizing large datasets.
• Software Engineering : Strong software engineering principles and practices, including coding standards, testing, and debugging.
• Cloud Platforms : Familiarity with cloud platforms like Hadoop (cloudera), AWS, Azure, or Google Cloud.
• Problem-Solving : Ability to analyze complex problems, identify solutions, and implement them effectively.
• Communication : Excellent communication and collaboration skills.
• LLM knowledge : Able to apply deep learning and generative modelling techniques to develop LLM solutions in the field of Artificial Intelligence. Knowledge of LLM training / fine-tuning methods and experience with these methods at scale.

Job Skills

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages

Additional Job Details

Address :

410 GEORGIA ST W, FLOOR 3 : VANCOUVER

City : VANCOUVER

Country : Canada

Work hours / week : 37.5

Employment Type : Full time

Platform :

TECHNOLOGY AND OPERATIONS

Job Type : Regular

Posted Date : 2025-05-14

Application Deadline :

2025-07-11

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

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Banking and Financial Services

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