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 (Toronto)
🏢 Oncoustics
📍 Toronto