Top Benefits
About the role
Job Description
What is the opportunity?
Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is hiring searching for a proficient Machine Learning Engineer with expertise in developing Generative AI applications. The ideal candidate will also have experience in building AI agents and possess strong software engineering skills. If you are passionate about pushing the boundaries of AI and advanced text generation, and you thrive in building efficient, scalable systems, we invite you to apply.
What will you do?
- Build and deploy AI agents that can autonomously perform tasks and interact with users or systems.
- Implement, fine-tune, and maintain generative AI models, adapting them to fit our specific problem domains.
- Construct and manage high-quality data pipelines for training, evaluating, and deploying generative models, while ensuring data integrity and efficiency.
- Engage with cloud platforms like Databricks and Azure to efficiently train and deploy generative models, utilizing their robust computing and storage capabilities.
- Maintain up-to-date knowledge of the latest research in NLP and generative models, applying this knowledge to continually improve our AI systems.
- Develop monitoring and evaluation tools to assess the performance of generative models and ensure they align with business goals and user needs.
- Optimize model performance considering factors like computational efficiency, latency, and accuracy.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and pipelines.
- Document and present model development processes, findings, and results to technical and non-technical stakeholders.
What do you need to succeed?
Must have:
- BS/MS/PhD in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- 1-2 years of professional or academic experience in machine learning with a focus on generative model development and deployment.
- Hands-on experience in building AI agents and integrating them into real-world applications.
- Strong software engineering skills, including proficiency in programming languages such as Python/PySpark.
- Strong analytical and problem-solving skills, combined with effective communication and collaboration abilities.
Nice to have:
- Hands-on experience with cloud computing platforms like Databricks and Azure, including their machine learning ecosystems.
- Knowledge of best practices in MLOps, including continuous integration, continuous deployment, and automated machine learning pipelines
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.
- 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
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business and geographies
#LI-POST
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.
Top Benefits
About the role
Job Description
What is the opportunity?
Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is hiring searching for a proficient Machine Learning Engineer with expertise in developing Generative AI applications. The ideal candidate will also have experience in building AI agents and possess strong software engineering skills. If you are passionate about pushing the boundaries of AI and advanced text generation, and you thrive in building efficient, scalable systems, we invite you to apply.
What will you do?
- Build and deploy AI agents that can autonomously perform tasks and interact with users or systems.
- Implement, fine-tune, and maintain generative AI models, adapting them to fit our specific problem domains.
- Construct and manage high-quality data pipelines for training, evaluating, and deploying generative models, while ensuring data integrity and efficiency.
- Engage with cloud platforms like Databricks and Azure to efficiently train and deploy generative models, utilizing their robust computing and storage capabilities.
- Maintain up-to-date knowledge of the latest research in NLP and generative models, applying this knowledge to continually improve our AI systems.
- Develop monitoring and evaluation tools to assess the performance of generative models and ensure they align with business goals and user needs.
- Optimize model performance considering factors like computational efficiency, latency, and accuracy.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and pipelines.
- Document and present model development processes, findings, and results to technical and non-technical stakeholders.
What do you need to succeed?
Must have:
- BS/MS/PhD in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- 1-2 years of professional or academic experience in machine learning with a focus on generative model development and deployment.
- Hands-on experience in building AI agents and integrating them into real-world applications.
- Strong software engineering skills, including proficiency in programming languages such as Python/PySpark.
- Strong analytical and problem-solving skills, combined with effective communication and collaboration abilities.
Nice to have:
- Hands-on experience with cloud computing platforms like Databricks and Azure, including their machine learning ecosystems.
- Knowledge of best practices in MLOps, including continuous integration, continuous deployment, and automated machine learning pipelines
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.
- 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
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business and geographies
#LI-POST
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.