Trendmicro

Trendmicro

Applied AI ML Engineer - Ottawa, ON

Ottawa

No sponsorship$105k-$130kDetected 29 days ago
PythonReactCode ReviewGitAWSGCPAzureCloud PlatformsMachine LearningDeep LearningPyTorchSparkNLPLLMsRAGMLOpsLangGraphCybersecurityDetection EngineeringPipeline ManagementCollaboration

About the role

  • TrendAI builds AI-powered cybersecurity solutions protecting millions of customers worldwide.
  • We're looking for Applied AI/ML Engineers to ship production AI features on the Trend Vision One™ Platform - from model training to GenAI system design and deployment.

Responsibilities

  • Architecting Autonomous Systems: Lead the design and implementation of sophisticated AI agent architectures, incorporating tool-calling capabilities, long-horizon reasoning, advanced memory management, and Retrieval-Augmented Generation (RAG).
  • Orchestrating Multi-Agent Workflows: Develop and deploy complex multi-agent systems utilizing industry-standard patterns-including ReAct, Plan-and-Execute, and reflection loops-to automate intricate security analysis and operations.
  • maintain robust MLOps infrastructure and manage the model lifecycle pipelines
  • Inference & Infrastructure Engineering: Enhance model performance through advanced optimization techniques such as quantization, pruning, and TensorRT; maintain robust MLOps infrastructure and manage the model lifecycle pipelines
  • TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.
  • At TrendAI™, we're always seeking exceptional talent; people who want to collaborate with the best and push boundaries together.
  • Here, your work goes beyond building a career.
  • Lead the design and implementation of sophisticated AI agent architectures, incorporating tool-calling capabilities, long-horizon reasoning, advanced memory management, and Retrieval-Augmented Generation (RAG).
  • Develop and deploy complex multi-agent systems utilizing industry-standard patterns-including ReAct, Plan-and-Execute, and reflection loops-to automate intricate security analysis and operations.
  • Enhance model performance through advanced optimization techniques such as quantization, pruning, and TensorRT; maintain robust MLOps infrastructure and manage the model lifecycle pipelines

Requirements

  • Minimum of 2+ years of professional experience in Machine Learning Engineering or Generative AI development, with a documented track record of delivering production-grade systems.
  • Deep technical foundation in machine learning principles, including model evaluation methodologies, hyperparameter optimization, regularization techniques, and statistical analysis.
  • Demonstrated success in developing LLM-powered applications or autonomous agentic systems.
  • Advanced proficiency in Python and established deep learning frameworks such as PyTorch or TensorFlow.
  • Proven ability to fine-tune open-source models (e.g., Llama, Mistral, BERT, T5) and implement sophisticated prompt engineering strategies.
  • Education
  • BS/MS in Computer Science, Machine Learning, or equivalent experience.

Nice to have

  • Strong software engineering fundamentals, including rigorous unit/integration testing, Git-based version control, and collaborative code review practices.
  • Hands-on experience with orchestration layers such as LangChain, LangGraph, or MCP.
  • Experience with large-scale data processing via Apache Spark/PySpark and deployment on major cloud platforms (AWS, GCP, or Azure).
  • Proficiency in GPU optimization, including CUDA kernel development, TensorRT, and hardware-aware model compression.
  • Professional background in cybersecurity or familiarity with industry frameworks such as MITRE ATT&CK or NIST CSF.
  • Preferred (Plus)

Compensation

  • 14 Annual Holidays

Benefits

  • TrendAI provides benefit options for you and your family.
  • Group benefits program with health and dental coverage
  • Telehealth Virtual Health Services
  • Life Insurance
  • Short & Long Term Disability
  • Pre-partum, maternity, parental and medical leave
  • Mental Health Wellness Program
  • Wellness Incentive Program
  • Retirement Savings Programs with company match
  • Tuition Assistance
  • Advanced Cybersecurity Analytics: Leverage deep learning, time-series analysis, and Graph Neural Networks (GNNs) to enhance threat detection, classification, and proactive risk assessment within the cybersecurity domain.

Visa & Work Authorization

  • No sponsorship will be provided for work permit applications or renewals for this position now or in the future.
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This listing is sourced directly from Trendmicro's careers page and normalized into a canonical job model.