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- 10+ years of experience in ML engineering, with a track record of technical leadership on high-impact ML systems.
- Proven expertise in recommendation systems, personalization, or search ranking.
- Deep understanding of deep learning (especially with PyTorch or TensorFlow) and ML infrastructure at scale.
- Experience building real-time inference systems and working with multimodal architectures.
- Proficient in Python, SQL, and cloud-native development (preferably GCP).
- Experience designing and deploying robust, observable, and scalable systems.
- Familiar with tools like Docker, Kubernetes, Airflow (Cloud Composer), and distributed compute frameworks (e.g., Spark).
- Able to think strategically and influence decisions beyond your immediate team.
- Strong communication skills—you can explain complex technical concepts to non-technical stakeholders and collaborate across disciplines.
- Passionate about mentorship, knowledge sharing, and fostering an inclusive, high-performing technical culture.
Key Skills
Ranked by relevance
cloud
deep learning
kubernetes
tensorflow
composer
pytorch
python
docker
sql
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Login to Apply
- Posted
- Aug 29, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Canada
- Company
- Hays
Industries
IT Services
IT Consulting
Categories
Design
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3 roles aligned with this opportunity
View Job Details
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Artificial Intelligence Engineer
2026-07-10
Full-time
Mid-Senior
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Design
View Job Details
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DevOps Engineer (Kubernetes & Cloud Platforms)
2026-07-23
Full-time
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View Job Details
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DevOps Engineer
2026-07-11
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Design