9 часов назад
Senior Machine Learning Engineer (AI)
140 000 - 180 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI) (Deep Learning/ML Platform): Productizing sophisticated AI models and engineering scalable machine learning systems for content personalization with an accent on neural network architectures, model optimization, and reliable production deployment. Focus on building high-performance inference pipelines, advancing monitoring and orchestration, and translating AI research into measurable business growth.
Location: Toronto, Canada (remote)
Salary: CAD$140,000–180,000 yearly, with possible additional bonus and benefits.
Company
provides data-activated content generation and AI decisioning solutions that help global brands personalize marketing content, increase revenue, and improve workflow efficiency.
What you will do
- Deploy commercial-grade AI products and integrate research innovations into the core AI model suite.
- Engineer scalable, high-performance machine learning systems with strong reliability.
- Advance the ML Platform through monitoring, workflow orchestration, artifact versioning, automated testing, and evaluation.
- Optimize and fine-tune AI models for high-performance inference at scale.
- Deliver AI-driven insights and models that support client adoption and measurable business growth.
- Guide and mentor junior engineers while collaborating with non-technical and cross-functional stakeholders.
Requirements
- 5+ years of experience in AI/ML development, including deep learning systems and model pipelines.
- Master’s degree or higher in Computer Science, Mathematics, Engineering, or a related technical field.
- Deep expertise in neural networks, including transformers, computer vision, natural language processing, and multimodal learning.
- Advanced proficiency in PyTorch or TensorFlow and strong Python skills.
- Experience designing production ML systems with workflow orchestration, online/offline evaluation, performance monitoring, and A/B testing.
- Knowledge of statistical modeling, predictive analytics, recommender systems, and propensity scoring.
Nice to have
- Experience with Spark and Google Cloud Platform.
- Ability to implement and adapt state-of-the-art research papers.
- Experience productizing AI research into commercial-grade deep learning models.
Culture & Benefits
- Remote role based in Toronto.
- Medical, financial, and other benefits are provided.
- Fast-paced, deadline-driven environment focused on continuous learning and high-quality solutions.
- Inclusive workplace committed to diversity and equal employment opportunity.
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