Senior Machine Learning DevOps Engineer

1 month ago

Vancouver, British Columbia, Canada DarkVision Full time

About the Role

DarkVision, a Koch Engineered Solutions company, is seeking a Senior Machine Learning DevOps Engineer to join our Machine Learning Team. Our ultrasound imaging system collects massive, high-resolution datasets, and we need someone to develop algorithms for automated processing, measuring, classification, and visualization of this data.

Key Responsibilities

  • Design and develop pipelines for ML systems in production.
  • Lead the design and deployment of Cloud infrastructure in AWS in accordance with MLOps industry best practices.
  • Coordinate cross-team efforts for feature/requirement creation; determine the best way to train, build, deploy, and monitor production models.
  • Understand the big picture; determine the best way to collect and train data, and ensure continuous improvement and development.
  • Actively maintain collaboration and knowledge sharing with other teams.

What You Will Learn

  • The development of state-of-the-art computer vision deep learning technologies.
  • Introduction of new frameworks, tools, and processes.
  • Building ML production systems for novel applications.
  • Independence to carry out self-guided research projects and POCs.

Requirements

  • Professional experience in building, operating, orchestrating, and maintaining cloud infrastructures for ML systems in production.
  • Experience building and managing CI/CD pipelines for ML systems in production.
  • Experience with data workflow and container orchestration tools.
  • Familiar with one or more machine learning frameworks.

What Will Put You Ahead

  • 3+ years of professional experience in a similar role and using AWS services and PyTorch.
  • Bachelor's degree in Computer Science, Software Engineering, or a STEM discipline with a focus on software engineering or equivalent experience. Master's degree will be considered a plus.
  • Hands-on experience with designing, developing, and maintaining a data warehouse.
  • Experience with pipeline tools such as Kubeflow, Prefect, or AWS SageMaker.
  • Experience with deployment and orchestration tools such as Terraform, Docker, or Kubernetes.
  • Experience with model, data, and experiment versioning, monitoring, and tracking.
  • Experience deploying computer vision deep learning algorithms.
  • Excellent communication skills with a proven record of leading cross-discipline projects.

General Salary Range

For this role, we anticipate paying $130,000 to $190,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. This role is also eligible for the full benefits package, flexible hours and work environment, and access to our state-of-the-art facilities.

How to Apply

If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.

Successful candidates will be required to complete a criminal background check.

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