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7 часов назад

Applied AI ML Engineer (Cybersecurity)

105 000 - 130 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied AI ML Engineer (Cybersecurity): Building and deploying production AI features, autonomous agents, and machine learning pipelines for cybersecurity solutions with an accent on LLM systems, RAG, multi-agent workflows, and inference optimization. Focus on designing long-horizon reasoning systems, fine-tuning models, optimizing GPU inference, and improving threat detection with deep learning, time-series analysis, and graph neural networks.

Location: Hybrid, with a minimum of 3 days per week in the Ottawa, Ontario office

Salary: $105,000–$130,000 CAD annually, based on experience and qualifications

Company

TrendAI, hirify.global’s AI security business unit, develops AI-powered cybersecurity solutions for organizations worldwide.

What you will do

  • Design and implement autonomous AI agent architectures with tool calling, long-horizon reasoning, memory management, and RAG.
  • Develop and deploy multi-agent workflows using ReAct, Plan-and-Execute, and reflection-loop patterns for security analysis and operations.
  • Select, integrate, and fine-tune LLMs and SLMs while balancing latency, operating cost, and predictive accuracy.
  • Build and maintain end-to-end machine learning pipelines covering data ingestion, feature engineering, training, evaluation, and production deployment.
  • Optimize inference with quantization, pruning, TensorRT, and GPU-focused techniques while maintaining MLOps infrastructure.
  • Apply deep learning, time-series analysis, and graph neural networks to threat detection, classification, and risk assessment.

Requirements

  • Minimum 2 years of professional experience in machine learning engineering or generative AI development, with production-grade delivery experience.
  • Strong knowledge of machine learning principles, model evaluation, hyperparameter optimization, regularization, and statistical analysis.
  • Experience developing LLM-powered applications or autonomous agentic systems.
  • Advanced Python proficiency and experience with PyTorch or TensorFlow.
  • Strong software engineering fundamentals, including unit and integration testing, Git, and collaborative code reviews.
  • BS/MS in Computer Science, Machine Learning, or equivalent experience.

Nice to have

  • Experience with LangChain, LangGraph, or MCP.
  • Experience fine-tuning open-source models such as Llama, Mistral, BERT, or T5 and applying prompt engineering.
  • Experience with Apache Spark or PySpark and AWS, GCP, or Azure.
  • GPU optimization experience, including CUDA kernels, TensorRT, and hardware-aware model compression.
  • Cybersecurity experience or familiarity with MITRE ATT&CK or NIST CSF.

Culture & Benefits

  • Group health and dental benefits, telehealth services, life insurance, disability coverage, and critical illness insurance.
  • Parental, maternity, medical, and paid leave programs, plus 14 annual holidays.
  • Retirement savings programs with company matching and tuition assistance.
  • Mental health and wellness programs, employee resource groups, and team activities.
  • Learning opportunities, work-life balance initiatives, and an equity-focused collaborative environment.
  • No sponsorship is provided for work permit applications or renewals now or in the future.

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