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DevOps Machine Learning Lead

3 months ago

Vancouver, British Columbia, Canada Insight Global Full time
  • Candidates must be legally authorized to work in Canada
Job Description

Insight Global is looking for an MLOps Engineer for one of our innovative technology clients based out of Vancouver BC. Their ultrasound imaging application requires a scalable and robust infrastructure that can accommodate the custom deep learning models we are developing, and the amount of data involved. The role will involve leading the design and development of a cutting-edge workflow architecture that will enable the development, training, and automated deployment of ML models developed by our dedicated team of ML Scientists.
Guide, build, and manage the development of 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; assign the work to individuals.
Actively maintain collaboration and knowledge sharing with other teams.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

5+ years of professional experience in a DevOps role
Bachelor's degree in Computer Science, Software Engineering, or a STEM discipline with a focus on software engineering or equivalent experience
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 including Docker and Kubernetes
Experience with model, data, and experiment versioning, monitoring, and tracking.
Experience building and managing CI/CD pipelines
Experience with data workflow and container orchestration tool
Expert AWS knowledge
Experience in architect or technical lead

Nice to Have Skills & Experience

Experience deploying computer vision deep learning algorithms.
Experience creating machine learning algorithm
Professional experience in building, operating, orchestrating, and maintaining cloud infrastructures for ML systems in production.
Masters or PhD

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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