7 часов назад
Applied AI ML Engineer (Cybersecurity)
105 000 - 130 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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, ’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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