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\n\n\n","datePosted":"2023-07-21T15:14:45.307Z","validThrough":"2025-03-22","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need. Unlike other players in the space, Oncoustics does not do image recognition. Instead, Oncoustics applies AI to raw ultrasound signals from readily available handheld ultrasound devices to rapidly differentiate healthy versus diseased tissues. There's a wealth of information in these raw signals and this approach reveals novel biomarkers that can be aligned with existing standards and categorization systems. Initially targeting liver disease, a $30B global diagnostic market, Oncoustics has filed a Breakthrough Device Designation Request with the FDA for the OnX that detects liver fibrosis and the 510K is underway. Several follow-on liver products are in development. Oncoustics also has clinical data on other organ indications including prostate, kidney, breast and thyroid diseases and cancers.","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","memberOf":{"@type":"Organization","name":"Ontario Bioscience Innovation Organization ","description":"The Ontario Bioscience Innovation Organization (OBIO) is a not-for-profit, membership-based organization engaged in the development of an integrated health innovation economy for Ontario and one that will become a global leader in providing health technology products and services to the international marketplace. OBIO advances this goal through advocacy, promotion and strategic leadership and via collaborative partnerships with industry, academia, patients and government.","logo":"https://cdn.getro.com/companies/4f1ef56f-2296-5b71-b6ad-b92d18a5ea23-1718996545","url":"careers.obio.ca"},"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\")
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Senior DevOps Engineer, for AI-based Systems
\nTORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
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Job Description
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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:
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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
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- 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
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- 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
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- 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
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\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