Machine Learning SpecialistResponsibilities:Design and implement scalable and performant systems to serve machine learning modelsOptimize training and inference performance of deep learning modelsCreate and maintain feature pipelines, feature stores, model storesMonitor production models and set up retraining infrastructure to improve performanceOptimize models for deployment on different hardware configurationsBuild frameworks to promote scalable and reproducible researchDrive projects and lead current initiativesFacilitate discussions on code implementation, testing, software architecture best practicesActively engage with others on the team to resolve challenging design and coding issuesCollaborate with stakeholders from different departmentsQualifications:A bachelor's or a master's degree in computer science, software engineering or equivalent5+ years of experience building software for machine learning systemsStrong understanding of machine learning and deep learning conceptsExcellent programming and scripting skillsExperience with building, validating, deploying,



monitoring, and updating production modelsExperience with infrastructure and tooling for MLOpsStrong problem‐solving and analytical skillsExcellent communication and collaboration skillsExperience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNXExperience with GPU programming using CUDA, OpenCL or similar librariesExperience 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 interactionFor 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