At a Glance
- Tasks: Lead the development of AI/ML systems and improve deployment processes.
- Company: Oncoustics, a pioneering tech company in liver care using advanced AI.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and career advancement.
- Why this job: Join a revolutionary team making a real impact in healthcare technology.
- Qualifications: 5+ years in DevOps or ML deployment; strong collaboration skills required.
The predicted salary is between 123750 - 151250 $ per year.
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.
Responsibilities
- Lead efforts in creating systems, tools, and processes to enable AI/ML and DSP R&D teams to efficiently run experiments and build models and 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.
Senior DevOps Engineer in Toronto employer: Oncoustics
At Oncoustics, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the healthcare sector. Our Toronto-based team thrives in a dynamic work culture that encourages professional growth through mentorship and hands-on experience with cutting-edge AI technologies. Join us to make a meaningful impact in medical imaging while enjoying a supportive environment that values your contributions and promotes continuous learning.
