\n\n\n\n\n\n
\n\n\n
\n\n\n","datePosted":"2023-07-21T15:14:45.307Z","validThrough":"2025-06-11","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is revolutionizing point-of-care diagnostics with its patented AI solutions that transform inexpensive ultrasound devices into powerful tools for the rapid, non-invasive detection and monitoring of liver diseases. Their innovative approach leverages raw ultrasound signals to provide accurate diagnostics without the need for image interpretation, making it accessible for any clinician. With a focus on improving patient outcomes and experiences, Oncoustics offers a suite of applications that streamline the diagnostic process, reduce costs, and enhance productivity in clinical settings. The company has validated its technology through extensive clinical partnerships and is positioned in a $30B global diagnostic market, addressing a critical need for early detection of liver disease, which is the fastest-growing cause of death globally.","numberOfEmployees":26,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}},{"address":{"@type":"PostalAddress","addressLocality":"North York, Toronto, ON, Canada"}}],"sameAs":"https://oncoustics.com","url":"https://oncoustics.com","logo":"https://cdn.getro.com/companies/3d60cba1-74be-5da2-8fa4-6b131b3d2dc3","keywords":"Biotechnology, Data and Analytics, DeepTech, Health, Software"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}}}\n![\"\"](\"https://global-uploads.webflow.com/63348796d74b71c28ac46bd6/633488f48e6e9a888711854b_oncoustics_Logo.png\")
\n
\n\n
Senior DevOps Engineer, for AI-based Systems
\nTORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
\n
\n\n
Job Description
\n
\n\n
Oncoustics 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 opportunity include:
\n
\n\n
Responsibility
\n- \n
- Lead 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 systems \n
- Be the bridge between R&D and software development teams; work very closely with research, development, product, and leadership \n
- Manage the development/deployment lifecycle as models are developed, tested, versioned and deployed \n
- Lead the development of our ML Ops practices \n
- Teach us (the R&D and development teams) how to ensure best practices for model operations \n
Requirements
\n- \n
- Experience in devops for cloud-based commercial systems \n
- Familiarity with some/most of these tools and frameworks or equivalents: GCP/AWS, K8s, ELK, Pub/Sub, Kafka, Jenkins, serverless, Cloud Run, Ansible, Terraform, Prometheus \n
- 5+ years at least of industry experience in the development and deployment of software solutions \n
- Lead the development of our ML Ops practices \n
- Teach us (the R&D and development teams) how to ensure best practices for model operations \n
Good To Have
\n- \n
- Familiarity and experience with machine learning-based solutions \n
- 5+ years at least of industry experience in the development and deployment of software solutions \n
Bonus Skills
\n- \n
- Familiarity with Python for machine learning and deep learning \n
- Experience solving for optimal model performance on devices, including NPU/GPU/CPU utilization, runtime memory usage, and model size/storage \n
- Experience deploying and shipping SaMD or SaaS products \n
- Experience in medical imaging analysis or signal processing with AI \n
- Prior experience with FDA clearance of SaMD, medical hardware/devices, or AI/ML algorithms \n
\n\n\n\n
\nSenior DevOps Engineer, for AI-based Systems
Oncoustics AI
Software Engineering, Data Science
Toronto, ON, Canada
Posted 6+ months ago
Senior DevOps Engineer, for AI-based Systems
TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
Job Description
Oncoustics 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 opportunity include:
Responsibility
- Lead 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 systems
- Be the bridge between R&D and software development teams; work very closely with research, development, product, and leadership
- Manage the development/deployment lifecycle as models are developed, tested, versioned and deployed
- Lead the development of our ML Ops practices
- Teach us (the R&D and development teams) how to ensure best practices for model operations
Requirements
- Experience in devops for cloud-based commercial systems
- Familiarity with some/most of these tools and frameworks or equivalents: GCP/AWS, K8s, ELK, Pub/Sub, Kafka, Jenkins, serverless, Cloud Run, Ansible, Terraform, Prometheus
- 5+ years at least of industry experience in the development and deployment of software solutions
- Lead the development of our ML Ops practices
- Teach us (the R&D and development teams) how to ensure best practices for model operations
Good To Have
- Familiarity and experience with machine learning-based solutions
- 5+ years at least of industry experience in the development and deployment of software solutions
Bonus Skills
- Familiarity with Python for machine learning and deep learning
- Experience solving for optimal model performance on devices, including NPU/GPU/CPU utilization, runtime memory usage, and model size/storage
- Experience deploying and shipping SaMD or SaaS products
- Experience in medical imaging analysis or signal processing with AI
- Prior experience with FDA clearance of SaMD, medical hardware/devices, or AI/ML algorithms