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W2 - Machine Learning Engineer (Java, Scala in private, public,
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<b>Duties:</b> Being part of a core team researching and applying latest cloud based ML tools and technologies from end-to-end (ML training, ML model development, deployment and ML model lifecycle management). Utilizing machine learning models as APIs or software libraries to be integrated into a full-stack AI cloud application. Establishing scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation. Developing and establishing model management technology and processes for helping enable MLOps such as: measure on-going accuracy, tooling for data / model drift, etc. Advising, consulting, mentoring and supporting businesses, data scientists and data consumers / users on model standards, scalability and deployment.<br /> <br /> <b>Skills:</b> N/A<br /> <br /> <b>Education:</b> Bachelor's degree or higher (completed and verified prior to start) from an accredited university. 3 years professional experience in data engineering, software development/engineering, or data science in a private, public, government or military environment. One (1) year of hands on development with frameworks such as Python, C++, C#, Java, Javascript, Scala in a private, public, government or military environment<br /> <br /> <b>Schedule Notes:</b>

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