Machine Learning Specialist

P2P; Montreal (administrative region); On-site; CAD 80,000 - 110,000; Full time

Job summary

P2P in Montreal is looking for a Machine Learning Specialist to design, implement, and optimize scalable systems for machine learning models. This role requires at least 5 years of experience, a relevant degree, and a deep understanding of machine learning concepts.

The ideal candidate will have strong programming skills and experience with ML frameworks like TensorFlow and PyTorch. Collaboration with various stakeholders and teams will be essential.

Qualifications

• 5+ years of experience building software for machine learning systems.
• Strong problem-solving and analytical skills.
• Experience with MLOps infrastructure and tooling.

Responsibilities

• Design and implement scalable systems for ML models.
• Optimize training and inference performance of deep learning models.
• Monitor production models and set up retraining infrastructure.

Skills

Machine learning concepts

Deep learning concepts

Programming skills

Analytical skills

Collaboration skills

Education

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

Tools

TensorFlow

PyTorch

CUDA

OpenCL

Job description

Machine Learning Specialist

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, feature stores, model stores
• Monitor production models and set up retraining infrastructure to improve performance
• Optimize models for deployment on different hardware configurations
• Build frameworks to promote scalable and reproducible research
• Drive projects and lead new initiatives
• Facilitate discussions on code implementation, testing, software architecture best practices
• Actively engage with others on the team to resolve challenging design and coding issues
• Collaborate with stakeholders from different departments

Qualifications:

• A bachelor’s or a master’s degree in computer science, software engineering or equivalent
• 5+ years of experience building software for machine learning systems
• Strong understanding of machine learning and deep learning concepts
• Excellent programming and scripting skills
• Experience with building, validating, deploying, monitoring, and updating production models
• Experience with infrastructure and tooling for MLOps
• Strong problem‑solving and analytical skills
• Excellent communication and collaboration skills
• Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNX
• Experience with GPU programming using CUDA, OpenCL or similar libraries
• Experience optimizing inference performance (quantization, profiling, kernel/runtime tuning, serving engines)
• Experience with one or more of the following is an asset: distributed systems, multi‑threaded programming, hardware/software interaction

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