About the role
Job Description
What will you do?
- Lead the design, development, and implementation of efficient ML pipelines and GenAI applications, while ensuring scalable integration with backend systems.
- Develop and maintain best-in-class MLOps practices to standardize and accelerate the deployment/management of ML models.
- Develop and maintain data services on-premises and in the cloud leveraging appropriate tools & services.
- Collaborate with cross-functional teams (Data Science, Engineering, Product, and Business) to identify and prioritize use cases for GenAI integration.
- Oversee the integration of data applications and AI/ML models with existing data environments, APIs, and microservices.
- Ensure data quality, consistency, and compliance with data governance and privacy standards.
- Stay current with emerging trends in AI/ML and recommend new technologies and methodologies.
- Work closely with stakeholders to translate business requirements into technical solutions, delivering measurable impact.
What do you need to succeed?
Must-have
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in backend development, data engineering, or software engineering.
- 1+ years of experience in GenAI, machine learning, or AI-driven systems development.
- 2+ years of experience with MLOps environments
- Strong programming skills in SQL, Node.js, and Python, with expertise in relevant libraries and frameworks.
- Experience working with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
- Proficiency in cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
- Knowledge of database systems (SQL, NoSQL) and data warehousing solutions (e.g., Snowflake, Redshift).
- Excellent leadership and time management skills, with the ability to manage multiple priorities in a fast-paced environment.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Nice-to-have
- Knowledge of data governance, privacy, and compliance standards (e.g., GDPR, CCPA).
- Experience in the financial services industry or a regulated environment.
- Certifications in cloud computing, data engineering, or AI/ML.
Job Skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Logical Data Modeling, Machine Learning, Machine Learning Model Development, Machine Learning Operations, Predictive Analytics, Programming Languages, Relationship Building
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
PERSONAL & COMMERCIAL BANKING
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-09-19
Application Deadline:
2025-10-04
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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
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.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
About the role
Job Description
What will you do?
- Lead the design, development, and implementation of efficient ML pipelines and GenAI applications, while ensuring scalable integration with backend systems.
- Develop and maintain best-in-class MLOps practices to standardize and accelerate the deployment/management of ML models.
- Develop and maintain data services on-premises and in the cloud leveraging appropriate tools & services.
- Collaborate with cross-functional teams (Data Science, Engineering, Product, and Business) to identify and prioritize use cases for GenAI integration.
- Oversee the integration of data applications and AI/ML models with existing data environments, APIs, and microservices.
- Ensure data quality, consistency, and compliance with data governance and privacy standards.
- Stay current with emerging trends in AI/ML and recommend new technologies and methodologies.
- Work closely with stakeholders to translate business requirements into technical solutions, delivering measurable impact.
What do you need to succeed?
Must-have
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in backend development, data engineering, or software engineering.
- 1+ years of experience in GenAI, machine learning, or AI-driven systems development.
- 2+ years of experience with MLOps environments
- Strong programming skills in SQL, Node.js, and Python, with expertise in relevant libraries and frameworks.
- Experience working with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
- Proficiency in cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
- Knowledge of database systems (SQL, NoSQL) and data warehousing solutions (e.g., Snowflake, Redshift).
- Excellent leadership and time management skills, with the ability to manage multiple priorities in a fast-paced environment.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Nice-to-have
- Knowledge of data governance, privacy, and compliance standards (e.g., GDPR, CCPA).
- Experience in the financial services industry or a regulated environment.
- Certifications in cloud computing, data engineering, or AI/ML.
Job Skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Logical Data Modeling, Machine Learning, Machine Learning Model Development, Machine Learning Operations, Predictive Analytics, Programming Languages, Relationship Building
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
PERSONAL & COMMERCIAL BANKING
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-09-19
Application Deadline:
2025-10-04
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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
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.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.