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 prospect include:

Responsibilities

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

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📌 Senior DevOps Engineer, for AI-based Systems (Ontario)
🏢 Oncoustics
📍 Ontario