AI Engineer - Sydney - Karbon

    Karbon
    Karbon Sydney

    1 week ago

    Default job background
    Description

    Karbon is a global leader in practice management software for growth-minded accounting firms. Our award-winning, highly collaborative cloud platform streamlines work and communication, enabling average accounting firms using Karbon to save 16 hours per week, per employee.

    We serve customers in 34 countries, with a globally distributed team based throughout the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, have a fantastic team culture built on our values, and are growing rapidly.

    Karbon is at the start of its AI journey, offering an opportunity to shape our product and processes. The successful candidate will be capable of designing, implementing, and maintaining AI models in a distributed production environment. You will develop bespoke AI solutions to automate workflows, generate insights, and create efficiencies for our users.

    Key responsibilities include:

    • Designing AI systems, analyzing problems, and applying machine learning to solve them
    • Machine learning and AI development, including developing a wide range of machine learning applications
    • Model evaluation and selection, considering wider impacts beyond basic evaluation metrics
    • Productionizing AI, owning the process past deployment, and monitoring production
    • Data management, working with data engineers to build and maintain data pipelines
    • Collaboration, working in a cross-functional team with data engineers, analysts, and full-stack developers

    About the Role

    If you're the right person for this role, you have:

    • 3+ years of experience developing and deploying AI/ML solutions
    • Strong proficiency in Python and relevant ML frameworks (Sklearn, Pytorch, Tensorflow, spaCy, etc.)
    • Strong understanding of traditional machine learning techniques (linear/logistic regression, randomForest, GBM, etc.)
    • Strong understanding of machine learning development lifecycles
    • Experience deploying machine learning models to production environments (Previous experience with Azure is advantageous)
    • A Bachelor's degree in Computer Science, Artificial Intelligence, Statistics, or equivalent experience is needed (Masters or PhD advantageous).

    Prior experience in the following areas would be advantageous:

    • Knowledge of deep learning architectures
    • Previous experience working with LLMs
    • Experience developing and maintaining data pipelines (Snowflake, DBT, etc)
    • Previous experience in backend software development (in particular C#)

    We offer a global experience across multiple regions, 4 weeks annual leave plus 5 extra 'Karbon Days' off a year, flexible working, and opportunities for professional growth.

    We recruit and reward people based on capability and performance. We don't discriminate based on various diversity dimensions that may hinder inclusion in the organization.

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