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Machine Learning Engineer - 212055

Full Time
On-Site

Cairo, Cairo Governorate, Egypt

  • Machine Learning Engineer

    Teradata, Egypt


    Introduction

    Data Science teams at Teradata deliver business insights and value to clients through big data analytics. Our data solutions integrate into engineering and decision-making processes. Additionally, we offer advisory services to our clients including use case prioritization, tool selection, training, and capability definitions.

    Teradata is expanding its data science team in Cairo.

    We are looking for Machine Learning engineers that are…

    1. Highly self-motivated
    2. Independent
    3. Keen on learning and continuous self-development
    4. Challengers of assumptions and status quo

    Job Responsibilities

    As a machine learning engineer, you will independently and as part of a team:

    1. Perform all the data preparation and post-modeling phases of a data science project: business understanding, data understanding and preparation, exploratory analysis, profiling the results, reporting results to internal/external stakeholders.
    2. Develop optimized SQL queries for large datasets.
    3. Follow team development processes.
    4. Based on the nature of the project and the available tools, quickly learn, and adapt to different technologies and tools than the ones you are used to.

    Qualifications

    • Proficient in SQL
    • Intermediate level in Python
    • Knowledge of Spark is a plus
    • Basic software engineering knowledge
    • Basic NLP Knowledge
    • Basic machine learning knowledge
    • Excellent verbal and written communication skills
Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

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