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    AI/ML Data Automation Engineer - Scottsdale, United States - PayPal

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    PayPal Scottsdale, United States

    1 week ago

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    Description

    We are looking for a talented Python Engineer to join our team. The ideal candidate will have a strong understanding of Big Data, Python Scripting, Machine Learning and Artificial Intelligence concepts, and experience applying these concepts on a large-scale data set. They will have the ability to solve complex problems with simple, efficient solutions, and the desire to continually learn and evolve their skills. They will collaborate closely with cross-functional teams to develop and deploy big data and AI powered solutions that optimize employee experiences and drive business outcomes. As part of our team, you'll work with cutting-edge AI/ML technologies and be at the forefront of the latest advancements in the field.

    Your way to impact:

    As a Python engineer, you will be responsible for designing, developing, and deploying big data, machine learning models and AI applications that solve complex business problems.

    In your day to day, you will:

    • Develop, implement, and maintain machine learning models, including data collection, model design, training, optimization, and validation.
    • Collaborate closely with product teams and other stakeholders to understand business needs and translate them into technical requirements.
    • Develop robust data pipelines to collect, clean, and process data from various sources.
    • Keep up to date with the latest technologies and research in the field of AI and ML to bring innovative solutions and improvements to our products.
    • Monitor the performance of AI/ML systems and make improvements as necessary.
    • Work closely with other members of the team to design and implement solutions, including collaborating with domain SMEs to understand the data and design models, working with software engineers to integrate models into products, and collaborating with product managers to define requirements and prioritize work.
    • Responsible for developing and maintaining data pipelines to support machine learning models, which includes data cleaning, feature engineering, and data storage.
    • Conduct experiments to evaluate model performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance.
    • Communicate technical concepts to non-technical stakeholders, you will need to be able to communicate complex technical concepts to non-technical stakeholders in a way that is easy to understand.
    • Provide technical leadership and mentorship in the field of Big data and AI/ML

    What do you need to bring:

    • Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field
    • 5+ years of experience working on Big Data and AI/ML models in a production environment.
    • Experience with big data processing frameworks such as Hadoop, Spark, PySpark, or Kafka, and hands-on experience with Google Cloud Platform (GCP)
    • Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, or similar.
    • Understanding of various machine learning techniques (classification, regression, clustering, etc.)
    • Strong knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithms
    • Experience with data preparation and data engineering - Python engineers should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation.
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