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ML Engineer

Remote / Online - Candidates ideally in
Canada
Listing for: GeeksForLess Inc.
Full Time, Remote/Work from Home position
Listed on 2026-10-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 90000 - 120000 CAD Yearly CAD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Location:

Remote

Employment Type:

Contract, Full-time
Duration: 3 months, starting ASAP
Working

Schedule:

Close to EST
Industry: Banking / Financial Services, Canada

We are looking for an experienced ML Engineer to join a Canadian banking project focused on building a production-grade MCP (Model Context Protocol) server.

The ideal candidate has strong Python and Machine Learning / AI experience, along with hands‑on expertise in MCP, Databricks, and Azure. Experience with AWS is a plus.

Responsibilities
  • Design and develop a production‑grade MCP server
  • Build and integrate ML/AI capabilities using Python
  • Work with Databricks for data and ML workflows
  • Develop and deploy solutions within Azure
  • Integrate MCP with cloud services, data sources, and external systems
  • Ensure scalability, reliability, security, and maintainability of the solution
  • Follow best practices for testing, deployment, and production readiness
  • Collaborate closely with the client’s technical and engineering teams
Requirements

Location:
Remote Anywhere

  • Strong experience in Machine Learning / AI
  • Hands‑on experience with MCP (Model Context Protocol)
  • Experience building, integrating, or working with MCP servers
  • Experience with Databricks
  • Strong knowledge of Microsoft Azure
  • Experience developing production‑grade applications and services
  • Good understanding of software engineering best practices, APIs, testing, and deployment
  • Ability to work independently and effectively in a fast‑paced environment

Would be a plus:

  • Experience with AWS
  • Experience with LLM / GenAI solutions
  • Experience with RAG, AI agents, or LLM integrations
  • Experience with cloud‑based ML platforms and infrastructure
  • Experience taking AI/ML solutions from prototype to production
  • Experience in banking or financial services
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