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Senior ML Platform Engineer – On-Prem Data/AI Infrastructure

RBC

Calgary

On-site

CAD 90,000 - 120,000

Full time

Yesterday
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Job summary

A leading financial institution in Calgary is looking for an experienced ML Platform Engineer to join its Borealis team. This role requires expertise in full stack development and involves designing, maintaining, and developing platform services to support data engineering and data science. The ideal candidate has strong proficiency in software development with at least 3 years of experience, skilled in API development and object-oriented design, along with a passion for automation and mentoring others. Join a dedicated team committed to leveraging machine learning in enterprise workflows.

Qualifications

  • 3+ years of experience as a software developer/software engineer.
  • Proficiency in at least one major programming language.
  • Strong platform engineering experience with scalable distributed systems.
  • Experience building APIs and RESTful services.

Responsibilities

  • Performing complex application programming activities, including coding, testing, and maintaining applications.
  • Creating and reviewing technical design documents.
  • Developing APIs and microservices for ML Platform.
  • Designing and building ML deployment tools and automation systems.

Skills

Software development
API development
Object-oriented design
SQL
NoSQL
Mentoring
Automation
Cross-functional communication

Education

Bachelor's degree in computer science or software engineering
Job description
A leading financial institution in Calgary is looking for an experienced ML Platform Engineer to join its Borealis team. This role requires expertise in full stack development and involves designing, maintaining, and developing platform services to support data engineering and data science. The ideal candidate has strong proficiency in software development with at least 3 years of experience, skilled in API development and object-oriented design, along with a passion for automation and mentoring others. Join a dedicated team committed to leveraging machine learning in enterprise workflows.
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