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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. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future. AI Fearlessly. Location: This is a hybrid role with a minimum in-office requirement of 3 days per week in the Ottawa, ON office located at 40 Hines Rd, Ottawa, ON K2K 2M5. Position Summary 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. Key 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. Model Selection & Optimization: Strategically select, integrate, and fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) tailored for domain-specific applications, ensuring an optimal balance between inference latency, operational cost, and predictive accuracy. End-to-End Pipeline Management: Architect and sustain comprehensive machine learning pipelines, encompassing the full lifecycle from data ingestion and feature engineering to model training, rigorous evaluation, and production deployment. 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 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. Performance Benchmarking: Establish automated evaluation frameworks and performance benchmarks aligned with business KPIs to monitor and improve model quality and reliability over time. Qualifications 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. Strong software engineering fundamentals, including rigorous unit/integration testing, Git-based version control, and collaborative code review practices. Preferred (Plus) Hands-on experience with orchestration layers such as LangChain, LangGraph, or MCP. Proven ability to fine-tune open-source models (e.g., Llama, Mistral, BERT, T5) and implement sophisticated prompt engineering strategies. 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. Education BS/MS in Computer Science, Machine Learning, or equivalent experience. What We Offer You You're important to us. What matters to you, matters to us too. 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 Critical Illness Insurance Mental Health Wellness Program Wellness Incentive Program Retirement Savings Programs with company match Paid Time Off 14 Annual Holidays Tuition Assistance Employee Resource Groups We offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities. Achieving work-life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work. The expected compensation for this position ranges from $105000 to $130000 CAD annually, based on experience and qualifications Be Passionate. Be Innovative. Be a Trender. No sponsorship will be provided for work permit applications or renewals for this position now or in the future. At Trend Micro, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. Trend Micro welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.