Trend Micro

3 weeks ago

Applied AI ML Engineer - Ottawa, ON

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build and deploy production AI features on the Trend Vision One™ Platform for AI-powered cybersecurity. You’ll architect autonomous and multi-agent systems, select and optimize LLMs/SLMs, and manage end-to-end ML pipelines from data ingestion through deployment. Improve inference performance with GPU/MLOps optimization and help strengthen threat detection using advanced analytics such as time-series and graph neural networks, with automated evaluation tied to business KPIs.

Location: Ottawa

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the design and implementation of autonomous AI agent architectures, including tool-calling, long-horizon reasoning, memory management, and RAG.
•Develop and deploy multi-agent workflows using patterns such as ReAct, Plan-and-Execute, and reflection loops to automate security analysis and operations.
•Select, integrate, and fine-tune LLMs/SLMs for domain-specific applications while balancing latency, cost, and predictive accuracy.
•Architect and sustain end-to-end machine learning pipelines from data ingestion and feature engineering through training, evaluation, and production deployment.
•Optimize model inference and infrastructure using techniques like quantization, pruning, TensorRT, and MLOps, including model lifecycle pipeline management.

Pay and Benefits

Salary: CAD 105,000 - 130,000 annually

Perks:Health InsuranceDentalLife InsurancePaid LeaveTuition AssistanceRetirement Savings

Key Requirements

•Minimum 2+ years of professional experience in Machine Learning Engineering or Generative AI with production-grade delivery.
•Strong foundation in machine learning principles including model evaluation, hyperparameter optimization, regularization, and statistical analysis.
•Experience building LLM-powered applications or autonomous agentic systems.
•Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
•Solid software engineering fundamentals including unit/integration testing, Git version control, and collaborative code reviews.

Experience:2+ yearsMachine learningGenerative AILLMsCybersecurity

Education:Bachelor's in Computer Science, Machine Learning

Tech Stack:PythonPyTorchTensorFlowLLMsSLMsRetrieval-Augmented Generation (RAG)ReActPlan-and-ExecuteLangChainLangGraphMCPApache SparkPySparkAWSGCPAzureCUDATensorRTQuantizationPruning

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Trend Micro

Global cybersecurity company providing endpoint, cloud, network, and hybrid security solutions to protect businesses and consumers from cyber threats, leveraging threat intelligence, machine learning, and automated protection across environments.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Tokyo, Japan

Founded: 1988

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Trend Micro

3 weeks ago

Applied AI ML Engineer - Ottawa, ON

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Ottawa

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the design and implementation of autonomous AI agent architectures, including tool-calling, long-horizon reasoning, memory management, and RAG.
•Develop and deploy multi-agent workflows using patterns such as ReAct, Plan-and-Execute, and reflection loops to automate security analysis and operations.
•Select, integrate, and fine-tune LLMs/SLMs for domain-specific applications while balancing latency, cost, and predictive accuracy.
•Architect and sustain end-to-end machine learning pipelines from data ingestion and feature engineering through training, evaluation, and production deployment.
•Optimize model inference and infrastructure using techniques like quantization, pruning, TensorRT, and MLOps, including model lifecycle pipeline management.

Pay and Benefits

Salary: CAD 105,000 - 130,000 annually

Perks:Health InsuranceDentalLife InsurancePaid LeaveTuition AssistanceRetirement Savings

Key Requirements

•Minimum 2+ years of professional experience in Machine Learning Engineering or Generative AI with production-grade delivery.
•Strong foundation in machine learning principles including model evaluation, hyperparameter optimization, regularization, and statistical analysis.
•Experience building LLM-powered applications or autonomous agentic systems.
•Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
•Solid software engineering fundamentals including unit/integration testing, Git version control, and collaborative code reviews.

Experience:2+ yearsMachine learningGenerative AILLMsCybersecurity

Education:Bachelor's in Computer Science, Machine Learning

Tech Stack:PythonPyTorchTensorFlowLLMsSLMsRetrieval-Augmented Generation (RAG)ReActPlan-and-ExecuteLangChainLangGraphMCPApache SparkPySparkAWSGCPAzureCUDATensorRTQuantizationPruning

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Trend Micro

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Tokyo, Japan

Founded: 1988

Website LinkedIn