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Senior ML Systems Engineer

DRW

Montreal (administrative region)

On-site

CAD 60,000 - 80,000

Full time

3 days ago
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Job summary

A diversified trading firm is looking for a Machine Learning Specialist to design and implement scalable systems for machine learning models. You will work with cutting-edge technology and collaborate with a talented team. Strong programming skills in Python and Go are essential, alongside experience in building machine learning systems. The role emphasizes innovation and problem-solving, offering an excellent opportunity to make an impact in the firm. Join us in Montreal and apply your skills in a thriving environment.

Benefits

Industry leading benefits package
Continuous learning and development opportunities
Work-life balance focus
Community initiatives and volunteer programs

Qualifications

  • 3+ years of experience building software for machine learning systems.
  • Strong understanding of machine learning and deep learning concepts.
  • Excellent programming and scripting skills, predominantly in Python and Go.

Responsibilities

  • Design and implement scalable systems for machine learning models.
  • Optimize performance of deep learning models.
  • Create and maintain feature pipelines and model stores.

Skills

Machine learning
Deep learning
Python
Go
MLOps
CUDA
OpenCL
Analytical skills
Communication
Collaboration

Education

Bachelor’s or Master’s degree in computer science or software engineering

Tools

TensorFlow
PyTorch
TensorRT
ONNX
Job description
A diversified trading firm is looking for a Machine Learning Specialist to design and implement scalable systems for machine learning models. You will work with cutting-edge technology and collaborate with a talented team. Strong programming skills in Python and Go are essential, alongside experience in building machine learning systems. The role emphasizes innovation and problem-solving, offering an excellent opportunity to make an impact in the firm. Join us in Montreal and apply your skills in a thriving environment.
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