High 5 Games

Machine Learning Engineer, Agentic Focus

High 5 Games

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Posted on:

Location Type: Remote

Location: Canada

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Job Level

Junior

Tech Stack

CloudDockerGoogle Cloud PlatformKubernetesPython

About the role

  • Design, develop, and deploy machine learning models
  • Collaborate on building and maintaining scalable data and feature pipeline infrastructure
  • Develop and implement robust strategies for model monitoring and observability
  • Optimize ML model inference performance
  • Ensure the reliability and performance of the ML models and data infrastructure platform
  • Troubleshoot and resolve complex issues impacting ML models
  • Ensure AI/ML models and workflows meet data governance, security, and compliance requirements

Requirements

  • 1+ years of experience as an ML Engineer
  • Strong experience in Google Cloud Platform (GCP)
  • Solid grasp of containerization (Docker, Kubernetes)
  • Experience building and deploying scalable data pipelines
  • Understanding of model monitoring, logging, and observability best practices
  • Experience in Python and ML frameworks
  • Familiarity with AI orchestration concepts using tools like LangGraph or LangChain is a bonus
  • Bonus experience includes working in gaming, real-time fraud detection, or AI personalization systems
Benefits
  • Remote work flexibility
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningmodel monitoringmodel optimizationdata pipelinePythonAI orchestrationcontainerizationDockerKubernetesML frameworks