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Cynet Systems
AI/ML Engineer - Remote / TelecommuteCynet Systems • Toronto, ON
AI/ML Engineer - Remote / Telecommute

AI/ML Engineer - Remote / Telecommute

Cynet Systems • Toronto, ON
30+ days ago
Job type
  • Full-time
  • Remote
Job description

Job Description: Requirements:
  • 5+ years of hands-on experience in applied machine learning, with a focus on regression, forecasting, or optimization.
  • Proven experience in production-grade ML pipelines, from experimentation to deployment.
  • Strong grasp of data science concepts such as cross-validation, quantile modeling, and model safeguard techniques.
  • Strong background in Python and data science libraries, with the ability to write clean, efficient, and production-ready code.
  • Experience on Git and related workflows, code review processes, automated testing, and CI/CD pipelines.
  • Solid understanding of data lifecycle management, including time-series feature engineering and retraining strategies.
  • Experience with ML model monitoring, versioning, and continuous retraining frameworks.
  • Familiarity with cloud ML ecosystems (Azure or AWS).
  • Experience with Azure ML, CosmosDB, Service Bus, and Kubernetes.
  • Experience with AWS SageMaker, ECS Fargate, SQS/EventBridge, and DocumentDB.
Responsibilities:
  • Design, train, and validate machine learning models that improve process performance and stability in concrete batching operations.
  • Lead end-to-end model development, from data exploration and feature engineering to deployment and validation.
  • Define and implement retraining and validation strategies that ensure continuous performance improvement.
  • Propose data selection and quality control methods to improve training representativity.

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AI/ML Engineer - Remote / Telecommute • Toronto, ON

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