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Machine Learning Architect for Scalable AI Systems & MLOps

P2P

Montreal (administrative region)

On-site

CAD 60,000 - 80,000

Full time

Yesterday
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Job summary

A diversified trading firm in Montreal is seeking a Machine Learning Specialist to design and implement scalable systems for machine learning models. The ideal candidate should have a degree in computer science or software engineering and at least 3 years of relevant experience. Responsibilities include optimizing model performance, maintaining feature pipelines, and collaborating with various stakeholders. This role offers an industry-leading benefits package and focuses on employee well-being and work-life balance.

Benefits

Continuous learning & development
Industry leading benefits package
Focus on employee well-being

Qualifications

  • 3+ years of experience building software for machine learning systems.
  • Experience with building, validating, deploying, monitoring, and updating production models.
  • Strong understanding of machine learning and deep learning concepts.

Responsibilities

  • Design and implement scalable and performant systems to serve machine learning models.
  • Optimize training and inference performance of deep learning models.
  • Create and maintain feature pipelines and model stores.

Skills

Machine learning concepts
Deep learning concepts
Python
Go
MLOps tooling
Problem-solving
Communication
TensorFlow
PyTorch
GPU programming

Education

Bachelor’s or Master’s Degree in Computer Science or Software Engineering
Job description
A diversified trading firm in Montreal is seeking a Machine Learning Specialist to design and implement scalable systems for machine learning models. The ideal candidate should have a degree in computer science or software engineering and at least 3 years of relevant experience. Responsibilities include optimizing model performance, maintaining feature pipelines, and collaborating with various stakeholders. This role offers an industry-leading benefits package and focuses on employee well-being and work-life balance.
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