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 - Solid 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 https://drw.com/privacy-notice. California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
📌 Machine Learning Specialist (Montreal)
🏢 P2P
📍 Montreal