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    Python Data Engineer - Houston, United States - EmergiTel

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    Description

    Responsibilities:

    • Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems
    • Design and implement frameworks and tools to streamline the machine learning process
    • Automate manual data collection and processing tasks to improve efficiency
    • Leverage software architecture and design patterns to develop fault tolerant microservices
    • Convert research-based machine learning models into production-ready software
    • Implement processes to ensure coding standards, code quality, documentation, and test coverage

    Qualifications:

    • 7+ years of programming experience in Python
    • Expertise in developing and maintaining data pipelines
    • Experience in testing, packaging, and deploying machine learning models
    • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
    • Expertise in Object-Oriented Design Principals and Functional Programming Principals
    • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
    • Experience in storage technologies including SQL relational databases and Object Storage such as AWS S3
    • Experience in implementing distributed computing systems
    • Experience in designing modular, reusable software components
    • Experience in developing API endpoints and microservices
    • Knowledgeable of MLOps Principles
    • Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow

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