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Hays

Machine Learning Engineer

Hays
Canada · Contract · Mid-Senior

  • 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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Posted
Aug 29, 2025
Type
Contract
Level
Mid-Senior
Location
Canada
Company
Hays

Industries

IT Services IT Consulting

Categories

Design

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