Senior ML Developer

0000050007 Royal Bank of Canada; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution in Toronto seeks a skilled Machine Learning Engineer to develop and deploy innovative ML solutions, collaborating with various teams. Candidates should have extensive experience in applied machine learning, proficiency in Python, and familiarity with cloud platforms. This full-time role promotes a culture of inclusion and innovation.

Benefits

Competitive salary

Inclusive workplace

Career development opportunities

Qualifications

• 5+ years experience in applied machine learning and data science roles.
• Proficiency in Python and SQL.
• Experience with deep learning frameworks like TensorFlow or PyTorch.

Responsibilities

• Develop and train machine learning models using different algorithms.
• Deploy and maintain models in production environments.
• Contribute to the development of new ML-powered features.

Skills

Machine Learning

Data Science

Programming Languages

Education

Advanced Degree in Computer Science or related field

Tools

Python

TensorFlow

AWS

Job description

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

Pay Type : Salaried

Posted Date : 2025-05-14

Application Deadline :

2025-08-31 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 with diverse perspectives is core to our continued growth. We maintain a workplace where employees feel supported, can collaborate effectively, drive innovation, and grow professionally. RBC strives to foster a workplace based on respect, belonging, and opportunity for all.

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