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Principal Engineer, AI & ML Solutions
Summary by AIEngineer.careers
Principal Engineer, AI & ML Solutions is a AI Infrastructure Engineer role (full-time). with RBC. in VANCOUVER, CA. Compensation shown: $111K–$140K (est.). Imported listing (source: jobsca.org). Apply on the employer's site (jobsca.org).
Imported listing (source: jobsca.org) · Apply on jobsca.org
VANCOUVER · CA
$111K–$140K (est.)
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobsca.org
Lead the development of a new AI product as a Principal Engineer, leveraging extensive experience in AI/ML infrastructure. This role requires deep technical expertise in building scalable data and ML pipelines using modern cloud-native tools.
Responsibilities
- Lead the end-to-end development of a new AI product
- Design and implement robust AI/ML infrastructure solutions
- Drive technical strategy for data engineering and ML operations
Requirements
- 10+ years of overall engineering experience
- 5+ years of hands-on experience in AI/ML infrastructure
- Proficiency in Python, PySpark, Databricks, Airflow, Kafka, and Snowflake
Tech Stack
PythonSnowflakeAirflowDatabricksPySparkKafka
RBC
Toronto · CA · 101000+ employees
RBC is a global financial institution and Canada's largest bank by market capitalization. It offers personal and commercial banking, wealth management, insurance, investor services, and capital markets products to millions of clients worldwide.
