Our client’s ultrasonic imaging technology creates the largest ultrasound datasets in the world. It detects millimeter sized defects in volumetric scans that can be kilometers long. It is essential that they develop algorithms for automated detection, localization, classification, and visualization of these defects to increase efficiency and reliability of our data processing at scale.

As the Head of Machine Learning, you will be responsible for building the Machine Learning strategy and overseeing the work of the ML team. You will oversee the architecture and development of models that help with automation and reduce dependency on manual intervention. You will also help build and oversee the development of machine learning pipelines for continuous training, evaluation, and deployment of these machine learning models.

Responsibilities:

• Establish Machine Learning Strategy & Vision: Collaborate with Product, Data, Project, and Software teams to establish actionable strategies related to the implementation of AI/ML.

• Lead & Grow the Machine Learning team: Grow the Machine Learning Engineering team, set priorities and deadlines, oversee goals and performance.

• Provide Technical Leadership: Be a hands-on leader and educate the rest of the team specifically in the following areas

  • ML algorithms & trends specially when it comes to imaging,

  • ML pipeline development and deployment

  • Continuous monitoring and improvement of ML models

• Help lead the AI/ML partnerships: Build, leverage, and oversee relationships with universities to partner on AI/ML projects, help decide what to build in-house and when to outsource.

Requirements:

• Demonstrated ability in developing, deploying, and maintaining AI/ML projects and products.

• At least 3 years of experience in managing a team.

• Exceptional written and verbal communication skills.

• Minimum Master’s degree in Software Engineering, Computer Science or Equivalent.

Opportunities to learn:

• AWS services like Sagemaker, Batch, Lambda.

• Training models with imbalanced datasets.

• Organising enterprise data into structured datasets for ML and visualization teams

• Computer vision and edge deployment experience

Our client offers top $’s for top talent – this includes full benefits and competitive vacation, plus a flexible work environment.

Contact: Amanda Du Toit amanda@corporate.bc.ca