Royal Bank of Canada

Machine Learning Engineer

Job description

Come Work with Us!

At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

Job Title

Machine Learning Engineer

Job Description

The DNA (Data & Analytics) group is responsible for enabling RBC to be a data-driven organization. As part of this mission, DNA works with various lines of businesses (Personal & Commercial Banking, Wealth Management, Insurance, Capital Markets, etc...) to create and build data-driven solutions that serve our clients better.

The Calgary enterprise data team will be focused on the governance and operations of analytic data science models executing on our production enterprise data platform. They will focus on the monitoring and control of the platform and the governance of networks of models, ensuring that they result in coherent business decisions and client interactions. This would include creating production pipelines that facilitate curation of data, derivation of value via applying models, automation of business decisions, data trust, governance, monitoring, client interactions and feedback channels.

Achieving a well governed, coherent and automated business decisions and client interactions ecosystem requires collaborating with Data Scientists, Architects, Platform Engineers and several other disciplines across the Bank.

What will you do?

  • Use Python, Spark, GitHub, Maven, Jenkins and Airflow to develop and deploy AI models

  • Design and execution of integration & execution of AI models with internal RBC products, as well as external RBC partners

  • Develop methodologies & frameworks for systematically validating the performance, security, and trustworthiness of deployed ML models

  • Focus on component reusability, data sharing and security while complying with the standards and processes set within the Enterprise

  • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives

  • Leverage best practices in continuous integration and delivery, with a strong commitment to quality

  • Explore new capabilities and technologies to drive innovation

What do you need to succeed?

Must-have

  • Proven track record of building and managing Data Engineering teams leveraging big data technologies (Spark, Kafka, Data Pipelines) to build data products

  • Proven track record of setting exemplary standards and the ability to tap in to hands on experience when necessary to ensure quality and timely deliverables

  • Active participation in design and code reviews, establishing of best practices, continuously inspiring a team of high calibre data Engineers to deliver excellence

  • Experience with containers and orchestration (e.g. Docker, Kubernetes, Mesos); experience with data modeling, data access and data storage techniques; experience building APIs; experience with public cloud Development

  • A passion for simplifying and automating work, making things better, continuous learning and helping others

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.

o A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

o Leaders who support your development through coaching and managing opportunities

o Ability to make a difference and lasting impact

o Work in a dynamic, collaborative, progressive, and high-performing team

o A world-class training program in financial services

o Flexible work/life balance options

o Opportunities to do challenging work

o Opportunities to take on progressively greater accountabilities

o Opportunities to building close relationships with clients

o Access to a variety of job opportunities across business and geographies

RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

RBC exige, à titre de condition d’emploi, que tous les candidats retenus aux États-Unis ou au Canada soient entièrement vaccinés contre la COVID-19 avant leur date d’entrée en fonction. Il est possible qu’ils aient à présenter une preuve vaccinale. Des mesures raisonnables d’adaptation sont offertes lorsque la loi l’exige

Job Summary

Address:

CALGARY, Alberta, Canada

City:

CAN-AB-CALGARY

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Technology and Operations

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2022-05-09-07:00

Application Deadline:

2022-06-06-07:00

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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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 rbc.com/careers.

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