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    Principal Software Development Engineer, MLOps - Toronto, Canada - Canada Workday ULC

    Canada Workday ULC
    Canada Workday ULC Toronto, Canada

    Found in: Talent CA C2 - 6 days ago

    Default job background
    Full time
    Description

    About the Role

    In this role, you would:

  • Partner and collaborate with multi-functional teams to deliver scalable, secure and reliable solutions
  • Actively engage with data scientists, ML engineers, product managers and other architects across teams in requirements elaboration and drive technical solutions
  • Own and develop features from end to end including infrastructure as code.
  • Design and build solutions for efficient organization, storage and retrieval of data to enable meaningful scale
  • Build systems and dashboards to supervise service & ML health.
  • Lead in architecture reviews, code reviews and technology evaluation.
  • Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
  • Develop and maintain monitoring and alerting systems for proactively identifying and addressing issues within the AI/ML infrastructure

    • About You

    Basic Qualifications for Principal

  • 6 or more years of validated proven experience in DevOps or programming experience preferably in Python, Java or Scala with a Bachelor's and/or Master's degree, preferably in CS, or equivalent experience
  • Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning development and data engineering
  • Keep abreast of industry trends and new technologies, providing recommendations for continuous improvement of our DevOps and machine learning practices
  • Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes
  • Optimize public cloud-based infrastructure (AWS, Azure, or GCP) to support the computational requirements of machine learning workloads
  • Implement and coordinate CI/CD workflows to automate testing, integration, and delivery of ML components
  • Ensure the security and compliance of ML platforms, implementing standard processes for encryption, data protection and access controls
  • Experience in managing relevant tools like Databricks and Sagemaker to perform efficient computation and management of large scale data lakes
  • Experience in supporting your work in production

    • Other Qualifications

  • Experience implementing and operating distributed systems
  • Experience with data and/or ML systems with ability to think across layers of the stack
  • Experience with Databricks, Sagemaker, & Apache Spark
  • Experience in leading or mentoring other team members

    • Workday Pay Transparency Statement

    The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please.

    Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $151,200 - $226,800 CADAdditional CAN Location(s) Base Pay Range: $151,200 - $226,800 CAD
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