TORONTO: RESEARCH AND DEVELOPMENT - FULL TIMEJob DescriptionOncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a Senior DevOps Engineer to join our team and improve our ML development pipeline and processes. A successful candidate may either be an experienced DevOps, an ML engineer with deployment experience, or some combination of these; previous experience supporting commercial solutions is critically important. The candidate should be able to build on previous work, and have a collaborative team spirit. Specifics of the chance include:ResponsibilitiesLead efforts in creating systems, tools, and processes to a) enable AI/ML and DSP R&D; teams to efficiently run experiments and build models and b) deploy selected models and methods to production systemsBe the bridge between R&D; and software development teams; work very closely with research, development, product, and leadershipManage the development/deployment lifecycle as models are developed, tested,



versioned and deployedLead the development of our ML Ops practicesTeach us (the R&D; and development teams) how to ensure best practices for model operationsRequirementsExperience in devops for cloud-based commercial systemsFamiliarity with some/most of these tools and frameworks or equivalents: GCP/AWS, K8s, ELK, Pub/Sub, Kafka, Jenkins, serverless, Cloud Run, Ansible, Terraform, Prometheus5+ years at least of industry experience in the development and deployment of software solutionsLead the development of our ML Ops practicesTeach us (the R&D; and development teams) how to ensure best practices for model operationsGood To HaveFamiliarity and experience with machine learning-based solutions5+ years at least of industry experience in the development and deployment of software solutionsBonus SkillsFamiliarity with Python for machine learning and deep learningExperience solving for optimal model performance on devices, including NPU/GPU/CPU utilization, runtime memory usage, and model size/storageExperience deploying and shipping SaMD or SaaS productsExperience in medical imaging analysis or signal processing with AIPrior experience with FDA clearance of SaMD, medical hardware/devices, or AI/ML algorithms #J-18808-Ljbffr

📌 Senior Devops Engineer, For Ai-Based Systems (Toronto)
🏢 Oncoustics
📍 Toronto