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
- Robust 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

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at

California residents, please review the California Privacy Notice for information about certain legal rights at

📌 Intern Specialist (Montreal)
🏢 P2P
📍 Montreal