Lead ML Platform & Cloud Engineer, GFT

What is the opportunity

Are you a talented creative and results-driven professional who thrives on delivering high-performing applications. Come join us!

Global Functions Technology (GFT) is part of RBCs Technology and Operations division. GFTs impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk Finance HR CAO Audit Legal Compliance Financial Crime Capital Markets Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

Our team is focused on the design development and deployment of capabilities that enable the end-to-end delivery of the Enterprise ESG framework. Senior Machine Learning and Data Engineer is responsible for developing application for large-scale data processing and analysis. You will work with all stakeholders to design best in class technology solutions. We value positive attitude willingness to learn open communication teamwork and commitment to clean secure and well-tested code.

Lead ML Platform & Cloud Engineer is responsible for developing applications for large-scale data processing and analysis and works with stakeholders to design best in class technology solutions to deliver reliable scalable and maintainable services with Machine Learning (ML) models in the core. Also supports the development and maintenance of scalable data stores that supply big data needed for business analysis.

What will you do

• Productionalize optimize ML based or any other advanced analytics models and algorithms tailored to address precise business challenges.

• Implement reusable pipelines and MLOps solutions to optimize machine learning models and other quantitative algorithms life cycle management.

• Drive adoption and maturity of MLOps with focus on adopting model performance monitoring conduct A/B testing with renewed change management and iteratively improve model accuracy and overall solution efficiency.

• E2E technical competency including conducting data analysis data preprocessing and feature engineering to prepare datasets for model training.

• Work alongside data scientists quantitative analysts software engineers data engineers and domain experts to collect requirements and establish project goals.

• Document machine learning processes methodologies and results to facilitate knowledge sharing and collaboration.

What do you need to succeed

Must Have:

• A degree in Computer Science Engineering Mathematics Statistics or a closely related field at the Bachelors or Masters level.

• 4 ML related experience (platform modeling ML engineering); 1 years of focused experience in MLOps projects. Experience with data manipulation preprocessing and feature engineering techniques.

• High-level expertise in programming languages such as Python highly proficient in both data and ML frameworks such as Spark Pandas scikit-learn PyTorch TensorFlow Ray etc.

• A comprehensive grasp of ml methodologies and principles such as supervised and unsupervised learning deep learning and NLP/GenAI

• Excellent problem-solving skills and analytical thinking. Strong communication and collaboration best practices and in constant pursuit of engineering excellence automation and best in class user experience

• Stay current with the most recent developments in machine learning research methodologies and technologies integrating them seamlessly into our workflow.

Nice to Have:

• Additional languages such as Java Scala

• Experience with building ML solutions in public cloud in a large enterprise environment

• Prior exposure in the Financial Industry especially supporting top-of-the-house risk analytic functions (such as Market Risk Credit Risk or Liquidity Risk) in the design and development of the regulatory frameworks.

Whats 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

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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.