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  • Posted: Aug 16, 2022
    Deadline: Not specified
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    Takealot.com is the leading ecommerce retailer in South Africa and one of the largest, most innovative ecommerce retailers on the African continent. Our mission is to be the most customer-centric online shopping destination in Africa, built around the simple concept that the customer comes first. All of our focus is dedicated to improving the customer ...
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    Machine Learning Engineer

    Your responsibilities will include:

    • Work with a firehose of customer data.
    • Analyze, build, evaluate and productionise machine learning models.
    • Touch all aspects of the business in your domain.
    • Brainstorm new ideas and concepts to solve specific use cases.
    • Work with teammates on design and code reviews.
    • Keep abreast of developments in the machine learning domain.

    The skills and attributes we need:

    • Be creative
    • Be flexible
    • Be a team player
    • Be data oriented
    • Take pride in your work
    • Be a good communicator

    Qualifications & Preferred Experience:

    • Degree in Computer Science or Engineering (alternatively a degree in a related field with work experience as a software engineer).
    • Three (3) years’ experience applying machine learning to real-world problems.
    • Three (3) years’ commercial software development experience.
    • Strong understanding of statistical analysis, modeling and machine learning techniques.
    • Strong knowledge of different types of recommendation systems.
    • Experience building backend systemcs at sale with a strong focus on data processing and machine learning.
    • Experience working within an agile team that is operationally hands-on and an advocate of that culture.
    • Experience with Python
    • Experience with Linux
    • Experience with BigQuery.
    • Experience with TensorFlow, Scikit-learn, PyTorch and Pandas.
    • Experience with deploying machine learning to production environments.
    • Data Mining and Big Data experience.

    Bonus Skills and Experience:

    • MSc (master of science) or PhD (doctorate).
    • Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
    • Experience with Elasticsearch.
    • Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended or MLflow.
    • Experience with serving machine learning models, such as TensorFlow Serving or KServe.

    Method of Application

    Interested and qualified? Go to takealot.com on boards.greenhouse.io to apply

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