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  • Posted: Mar 16, 2024
    Deadline: Not specified
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    TalentUp Africa uses quizzes and games, all based on specific lessons, to identify candidates’ capabilities, skill sets, and personalities. Through app-based games and quizzes, the selection process becomes quicker and more objective - time equals money, and selection of candidates will no longer be coloured by applicant’s, ethnicity, race, age, ...
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    Associate Data & ML Engineer

    Job Description

    • In this role, you will work on large-scale data science/data analytics projects.
    • Ability to lead effectively across organizations.
    • You will Implement AWS services in a variety of distributed computing, enterprise environments.
    • You will define system architectures and explore technical feasibility trade-offs.
    • You will work on a code base with many contributors.
    • You will be required to prototype and evaluate applications and interaction methodologies.
    • You will be required to present complex technical information in a clear and concise manner to a variety of audiences therefore you will demonstrate written and verbal technical communication skills.

    Your Profile

    Qualification And Experience

    • Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
    • 1+ years’ experience of Data platform implementation, including 1+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations.
    • 3+ years experience developing cloud software services and an understanding of design for scalability, performance and reliability.
    • 1+ years of IT platform implementation experience.
    • Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza.
    • Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis).
    • Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
    • Proficiency with at least one of the languages such as C++, Java, Scala or Python.
    • Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
    • Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
    • Basic understanding of machine learning fundamentals.
    • Ability to take Machine Learning models and implement them as part of data pipeline
    • Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
    • Experience with AWS technology stack and current hands-on implementation experience required

    Method of Application

    Interested and qualified? Go to TalentUp Africa on careers.tua.work to apply

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