Senior ML Developer

Royal Bank of Canada; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading financial institution is seeking a talented Senior ML Developer for their Vancouver Innovation hub. In this role, you will develop high-performing applications using machine learning techniques within an agile team. Ideal candidates will have an advanced degree and extensive experience in applied machine learning, cloud platforms, and strong programming skills in Python and SQL.

Qualifications

• 5 years of experience in applied machine learning or data science roles.
• Proficiency in Python, SQL, and possibly other languages like Java.
• Experience with deep learning frameworks like TensorFlow or PyTorch.

Responsibilities

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

Skills

Big Data Management

Data Mining

Data Science

Deep Learning

Machine Learning

Predictive Analytics

Programming Languages

Education

Advanced Degree in Computer Science, Engineering or related field

Tools

Python

SQL

TensorFlow

PyTorch

Hadoop

AWS

Azure

Google Cloud

Job description

Overview

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 have 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 RBCs 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 RBCs risk management.

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 of experience in applied machine learning or data science 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 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 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
• Pay Type: Salaried
• Application Deadline
• 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.

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Required Experience

Senior IC