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Human Resources Technology (HR Tech), Artificial Intelligence, Software

AI/ML Engineer

Toronto, Ontario, CanadaRemoteFull TimePosted 2 months ago

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Role summary

We are seeking an experienced AI/ML Engineer contractor proficient in Python to design, build, and maintain AI-powered systems. The role involves developing AI agents, implementing Model Context Protocols (MCP), managing data pipelines, and deploying solutions on cloud platforms (Azure, AWS, GCP). The ideal candidate will have practical experience with modern data management techniques, cloud services, and CI/CD. This is a remote, full-time contract position requiring independent work and collaboration with cross-functional teams.

AI/ML Engineer

Canada Remote

Full-time (Permanent)

JD:

Role Summary

We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.

Core Responsibilities

  • Design, build, and maintain Python-based services and automation workflows
  • Implement MCP for agent communication, control, and observability
  • Build, transform, and manage data pipelines supporting AI and analytics use cases
  • Deploy, monitor, and optimize solutions in cloud environments
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Ensure code quality, performance, security, and maintainability

Required Technical Skills

  • Python: Advanced proficiency; production experience with APIs, async processing, and testing
  • AI / LLM Agents: Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators)
  • MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol driven AI architectures
  • Data Management:
  • Data modeling and data pipelines
  • Working with SQL and NoSQL databases
  • Experience with data quality, governance, and large scale datasets
  • Cloud Experience:
  • Hands on work in at least one major cloud platform (Azure, AWS, or GCP)
  • Experience with cloud storage, compute, and managed services
  • Familiarity with CI/CD and cloud native deployment patterns

Preferred / Nice to Have

  • Experience with vector databases and embeddings
  • Familiarity with MLOps or LLMOps practices
  • Experience with streaming data or event-driven architectures
  • Knowledge of security and compliance considerations for AI systems
  • Prior work in enterprise or large-scale data management
  • Healthcare or other data regulated experience preferred

Engagement Characteristics

  • Contractor is expected to work independently with minimal supervision
  • Comfortable operating in fast moving, evolving technical environments
  • Strong documentation and communication skills
  • Experience collaborating with remote and cross functional teams

Technical Skills

  • AI/LLM Agent and MCP (Model Control Protocols) Google ADK, Copilot Studio
  • Cloud Experience Google Cloud or Azure preferred.
  • Database Knowledge BigQuery, Firestore, Cloud SQL, etc.
  • Data pipeline Dataflow
  • Power Automate
  • Automation Tooling UI Path, etc.
  • CI/CD Pipeline Azure DevOps Pipeline
  • Infrastructure as Code (IaC) - Terraform
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