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Machine Learning Engineer

2 months ago

Vancouver, British Columbia, Canada LifeLabs Full time

Job Title: Machine Learning Engineer

Company: LifeLabs

About Us: LifeLabs is the largest community diagnostics laboratory in Canada, serving the healthcare needs of Canadians for over 50 years. Our team members are truly centred around our customers, and we know that behind every lab requisition, sample being tested, or investment in technology is an individual and their family counting on us.

Our Vision: At LifeLabs, we have a vision to enable better healthcare through providing consumers with actionable insights that lead to better sustainable outcomes.

Job Summary: We are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will play a key role in developing and deploying machine learning models to drive business decisions and improve patient outcomes.

Key Responsibilities:

  • Data Analysis and Engineering:
    • Explore and analyze complex datasets using statistical and machine learning techniques to uncover patterns, trends, and insights.
    • Identify relevant features and develop strategies for feature extraction and selection to improve model performance and efficiency.
    • Build net new data assets to support feature engineering processes.
    • Pre-process, clean, and analyze large volumes of structured and unstructured data to extract meaningful insights and features for model training.
  • Model Development:
    • Develop predictive models, classification algorithms, and recommendation systems to solve business problems and drive decision-making.
    • Implement scalable and efficient machine learning pipelines using tools and frameworks.
    • Deploy machine learning models into production environments and integrate them into existing systems and applications.
    • Monitor model performance and evaluate model accuracy, reliability, and scalability over time, and make necessary adjustments to improve performance.
  • Communication and Visualization:
    • Build interactive data visualizations and presentations to communicate insights and findings to stakeholders.
  • Research and Innovation:
    • Stay abreast of the latest advancements in machine learning, deep learning, and related fields, and actively contribute to research initiatives and innovation projects within the company.

Requirements:

  • Minimum 4 years of experience in a comparable role
  • Master's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field required, PhD an asset
  • Strong proficiency in programming languages such as Python, R, SQL with experience in building and deploying machine learning models
  • Experience with data manipulation and analysis libraries such as Pandas, NumPy, SciPy, Scikit-learn
  • Experience working on Azure, UNIX, and hybrid environments
  • Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus
  • Experience with software development best practices, version control systems (e.g., Git), and agile methodologies is a plus
  • Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment
  • Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders

What We Offer:

  • A competitive salary range of $92,000
  • A comprehensive benefits package, including health, dental, and vision coverage
  • A retirement savings plan with company matching
  • A generous vacation entitlement
  • An award-winning wellness program focused on supporting your total health and well-being
  • Professional development and membership reimbursement
  • Access to preferred rates and discount programs

Why Join Us:

At LifeLabs, we know that we are Stronger Together and that we will benefit from the unique perspectives and experiences that each team member offers. We are committed to the ongoing development of our diversity, equity, and inclusion (DEI) program and have taken steps to strengthen our commitment to our team members and customers, to challenge ourselves to act with courage and integrity, and to create an environment where people can be their true selves.