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 Submit Your Application Resume Uploading... fileuploaded.jpg Upload failed. Max size for files is 10 MB. Are you eligible to work in Canada? YesNo Thank you! Your submission has been received! Oops! Something went wrong while submitting the form.

The Senior DevOps Engineer will lead efforts in creating systems, tools, and processes to enable AI/ML and DSP R&D teams to efficiently run experiments and deploy models to production systems. They will also manage the development and deployment lifecycle of models and lead the development of ML Ops practices.

Candidates should have experience in DevOps for cloud-based commercial systems and familiarity with various tools and frameworks. A minimum of 5 years of industry experience in software development and deployment is required, along with a collaborative team spirit.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• DevOps
• Machine Learning
• Cloud Computing
• GCP
• AWS
• Kubernetes
• ELK
• Pub/Sub
• Kafka
• Jenkins
• Serverless
• Ansible
• Terraform
• Prometheus
• Python
• Medical Imaging

• Technology
• Healthcare
• Engineering
• Data & Analytics
• Manufacturing

Expérience minimale

5+ ans

Postuler avant le

9 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level