Machine Learning DevOps Engineer

About the job

DarkVision’s ultrasound imaging system collects huge datasets on the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few mm. It is essential that we develop algorithms for automated processing, measuring, classification and visualization of this data since manual processing is both time-consuming and inconsistent. 

As a Machine Learning DevOps Engineer, you will help build the platforms that automate Deep Learning for a variety of traditional and custom machine learning tasks. You will report to our Director of Software Engineering and be responsible for developing and maintaining machine learning pipelines in AWS that can accommodate scalable infrastructure and massive flows of data. 


  • Coordinate with the Data team (end users) and Software team for feature/requirement creation
  • Help build AWS infrastructure using different tools boxes
  • Help manage and modernize the data warehouse using DevOps and MLOps best practices
  • Design and maintain ML-based continuous CI/CD pipelines using the AWS platform
  • Design and lead cloud DevOps practices in AWS
  • Proactively manage incident responses and security breaches
  • Actively maintain collaboration and knowledge sharing with other relevant teams


  • Strong Python programming abilities
  • C++ programming abilities
  • Ability to write production level code
  • Hands-on experience with database systems
  • Proficiency in CI/CD
  • Familiar with one or more machine learning frameworks (Tensorflow, PyTorch, etc.)
  • Familiar with both Windows and Linux systems
  • Good analytical skills in linear algebra, geometry, and statistics
  • Strong communication and interpersonal skills

Preferred Qualifications

  • Experience in MLOps 
  • Experience deploying ML models and pipeline
  • Experience with cloud infrastructures (AWS, Azure, GCP)
  • Knowledge of one or more of the tools – IAC, Containerization, and orchestration (Terraform, Docker & Kubernetes) 
  • Experience developing image processing and conventional computer vision algorithms
  • Skills for building deep learning models for computer vision tasks
  • Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics or equivalent

Opportunities to learn

  • State-of-the-art deep learning technologies
  • Training semantic and/or instance segmentation models
  • Work in an interdisciplinary team
  • Latest advancements in Computer Vision

What’s in it for you?

  • Competitive salary or higher (Top $ for top talent)
  • Full benefits package.
  • Competitive vacation allotment
  • Flexible work environment.

About DarkVision
DarkVision Technologies Inc. is a BC-based tech company that has been disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform and are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.
Backed by Koch Industries, the largest privately held company in North America, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products.

We provide employees the opportunity to work on cutting-edge technologies that blend science with real-world applications and invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.

Why DarkVision

Here are 4 reasons you’ll like working at DarkVision:

  • Well-Funded: We are backed by Koch Industries – North America’s largest privately held company and are actively working with top-tier operators across North America.
  • ‘A’ Players: Our team is made up of talented, intelligent, and hardworking people. If you’re an ‘A’ player, you’ll enjoy the intellectually stimulating, challenging and respectfully competitive atmosphere.
  • Growing Quickly: We are in the process of launching several new product lines and as a result, have more than doubled our headcount over the last year.
  • Lots of Opportunities: We are transitioning into a much larger organization and will soon expand into a 52,000 sq ft facility in North Vancouver. We have recently opened a larger Calgary office and have expanded into the US with offices in Houston and Midland, TX.

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