Ux Researcher-Jobs in Kanada

Job Description

What is the opportunity?

Are you passionate about cutting-edge AI technologies and their transformative potential? RBC is seeking a highly skilled and innovativeStaff Data Scientistto join our Generative AI (GenAI) team within DevOps. This is an exciting opportunity to work at the forefront of AI, leveraging state-of-the-art technologies like OpenAI, Cohere, Anthropic Claude, DevinAI, and GitHub Copilot to drive innovation in a financial institution setting. You will play a pivotal role in building and deploying AI-driven solutions that enhance operational efficiency, improve customer experiences, and enable data-driven decision-making.

If you thrive in a collaborative environment and are eager to work with the latest advancements in AI, this is the role for you.

What will you do?

• Design, develop, and deploy AI/ML models, with a focus on Generative AI, to solve complex business problems and optimize DevOps processes.

• Collaborate with cross-functional teams, including engineers, data scientists, and product managers, to identify opportunities for AI-driven solutions.

• Work extensively withElasticsearch,PostgreSQL,Snowflake, and other data platforms to extract, transform, and analyze large-scale datasets.

• Fine-tune and customize large language models (LLMs) to meet specific business needs, ensuring optimal performance and relevance.

• Build and maintain pipelines for data ingestion, preprocessing, and model training/deployment using modern DevOps practices.

• Conduct research and experimentation to evaluate the latest GenAI technologies and recommend their adoption where applicable.

• Develop and implement robust testing frameworks to ensure the reliability and scalability of AI models in production.

• Provide mentorship and technical guidance to junior team members, fostering a culture of continuous learning and innovation.

• Stay up-to-date with advancements in AI/ML and contribute to the team’s knowledge base by sharing insights and best practices.

What do you need to succeed?

Must-have:

• Proven experience working withElasticsearch,PostgreSQL(or similar relational databases), andSnowflakein a professional setting.

• Hands-on experience with Generative AI projects, including the use of tools like OpenAI, Cohere, Anthropic Claude, or similar.

• Strong programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.

• Solid understanding of machine learning concepts, including model training, evaluation, and deployment.

• Experience in building and deploying scalable data pipelines and AI models in production environments.

• Familiarity with DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Nice-to-have:

• Experience in fine-tuning large language models (LLMs) for specific use cases.

• Knowledge of cloud platforms such as AWS, Azure, or GCP, with experience in their AI/ML services.

• Familiarity with MLOps tools like MLflow, Kubeflow, or similar.

• Background in financial services or experience working in a regulated industry.

Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

What’s in it for you?

• The opportunity to work with cutting-edge Generative AI technologies and make a tangible impact in a leading financial institution.

• A collaborative and innovative work environment that encourages experimentation and learning.

• Access to world-class tools, resources, and training to support your professional growth.

• Competitive compensation and benefits package, including health, wellness, and retirement plans.

• The chance to be part of a forward-thinking team that values creativity, diversity, and inclusion.

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Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-09

Application Deadline:

2025-09-14

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.

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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 jobs.rbc.com.