Senior DevOps Engineer, for AI-based Systems
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Experience
- 5+ years at least of industry experience in the development and deployment of software solutions
- Posting language
- English
- Posted
Original job description
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
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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
- 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
- Familiarity and experience with machine learning-based solutions
- 5+ years at least of industry experience in the development and deployment of software solutions
- 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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More about this job
Responsibilities
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.
Requirements
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.
Skills
- DevOps
- Machine Learning
- Cloud Computing
- GCP
- AWS
- Kubernetes
- ELK
- Pub/Sub
- Kafka
- Jenkins
- Serverless
- Ansible
- Terraform
- Prometheus
- Python
- Medical Imaging
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Healthcare
- Engineering
- Data & Analytics
- Manufacturing
Keywords
- DevOps
- Machine Learning
- Cloud Computing
- GCP
- AWS
- Kubernetes
- ELK
- Pub/Sub
- Kafka
- Jenkins
- Serverless
- Ansible
- Terraform
- Prometheus
- Python
- Medical Imaging
- AI
- DSP
- R&D
- ML Ops
- SaMD
- SaaS
- FDA Clearance
- NPU
- GPU
- CPU
- Runtime Memory Usage
- Model Size
- Signal Processing