AI/ML Infrastructure Engineer - Toronto - Avenue Code

    Avenue Code
    Avenue Code Toronto

    1 week ago

    Description

    About The Opportunity


    About the job

    The team is dedicated to developing a robust platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.

    Responsibilities

    • Contribute to the client's ML Platform SDK and build tools for various ML operations.
    • Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements.
    • Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skillsets.
    • Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops.
    • Design, documents and implements reliable, testable and maintainable solutions ML infrastructure capabilities.

    Required Qualifications

    • You have 6+ years of hands‑on experience implementing production ML infrastructure at scale in Python, Go or similar languages.
    • You have knowledge of deep learning fundamentals, algorithms, and open‑source tools such as Huggingface, Ray, PyTorch or TensorFlow.
    • You have an understanding of distributed training leveraging GPUs and Kubernetes.
    • You have a general understanding of data processing for ML.
    • You have experience with agile software processes and modular code design following industry standards.

    Seniority level


    Mid-Senior level

    Employment type


    Full-time

    Job function


    Information Technology

    Industries


    IT Services and IT Consulting

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