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Senior DevOps Engineer, for AI-based Systems
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TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
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Job Description
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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:
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Responsibility
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  • 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
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  • Be the bridge between R&D and software development teams; work very closely with research, development, product, and leadership
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  • Manage the development/deployment lifecycle as models are developed, tested, versioned and deployed
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  • Lead the development of our ML Ops practices
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  • Teach us (the R&D and development teams) how to ensure best practices for model operations
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    Requirements
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    • Experience in devops for cloud-based commercial systems
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    • 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
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    • 5+ years at least of industry experience in the development and deployment of software solutions
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    • Lead the development of our ML Ops practices
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    • Teach us (the R&D and development teams) how to ensure best practices for model operations
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    Good To Have
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    • Familiarity and experience with machine learning-based solutions
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    • 5+ years at least of industry experience in the development and deployment of software solutions
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    Bonus Skills
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    • Familiarity with Python for machine learning and deep learning
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    • Experience solving for optimal model performance on devices, including NPU/GPU/CPU utilization, runtime memory usage, and model size/storage
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    • Experience deploying and shipping SaMD or SaaS products
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    • Experience in medical imaging analysis or signal processing with AI
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    • Prior experience with FDA clearance of SaMD, medical hardware/devices, or AI/ML algorithms
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    © Copyright Oncoustics. All Rights Reserved
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    \n\n","datePosted":"2023-07-21T15:14:45.307Z","validThrough":"2024-08-22","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","sameAs":"https://oncoustics.com","logo":"https://cdn.getro.com/companies/3d60cba1-74be-5da2-8fa4-6b131b3d2dc3"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}}}

    Senior DevOps Engineer, for AI-based Systems

    Oncoustics AI

    Oncoustics AI

    Software Engineering, Data Science
    Toronto, ON, Canada
    Posted on Friday, July 21, 2023
    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
      Uploading...
      fileuploaded.jpg
      Upload failed. Max size for files is 10 MB.
      Are you eligible to work in Canada?
      Thank you! Your submission has been received!
      Oops! Something went wrong while submitting the form.