Junior AI Engineer — Azure ML & Data Solutions

Kootenay Savings Group

Canada

Hybrid

CAD 47,000 - 63,000

Full time

7 days ago
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Benefits offered by this job

Extended health benefits
Dental benefits
Vision benefits
Health Spending Account
No-fee chequing

Job summary

Kootenay Savings Credit Union is seeking a junior AI/ML engineer to support digital transformation in a regulated financial services environment. The role focuses on developing and deploying AI/ML models, data preparation, and integrating AI solutions with existing core systems and the Microsoft technology stack, including APIs and Azure services.

With hands-on learning in AI/ML, cloud platforms, and responsible AI practices, you will collaborate with cross‑functional teams to meet business

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, AI, or related field with significant AI/ML focus.
  • Certifications in AI/ML or Azure AI considered an asset.
  • 2+ years in software development, data science or AI/ML engineering.
  • Experience with cloud platforms (Azure preferred).
  • Familiarity with Agile methodologies and regulated industries.

Responsibilities

  • Assist in developing, testing, and deploying AI/ML models to support business objectives.
  • Prepare datasets through data cleaning and feature engineering.
  • Participate in prompt engineering and tuning of LLMs and generative AI solutions.
  • Integrate AI solutions with existing systems via APIs and Azure services.
  • Build and maintain serverless AI workflows using Azure Functions.

Skills

Python
SQL
REST APIs
Git
Azure
Agile
Communication

Education

Bachelor’s degree in CS/Data Science/AI

Tools

Azure Cloud
Azure OpenAI
Power Platform

Job description

Kootenay Savings Credit Union is seeking a junior AI/ML engineer to support digital transformation in a regulated financial services environment. The role focuses on developing and deploying AI/ML models, data preparation, and integrating AI solutions with existing core systems and the Microsoft technology stack, including APIs and Azure services.

With hands-on learning in AI/ML, cloud platforms, and responsible AI practices, you will collaborate with cross‑functional teams to meet business

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