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    Machine Learning Engineer - Austin, United States - Insight Global

    Insight Global background
    Description

    Job Description

    Job Description

    Job Description: We are seeking a Machine Learning Engineer with experience in designing, building, and maintaining machine learning models and pipelines. Someone with the proven ability to work with a variety of data sources, including structured and unstructured data. Additionally, the ideal candidate will have strong experience in Python and Machine Learning libraries (SciKit-Learn, TensorFlow, and PyTorch).

    Required Skills and Experience:

    Deploying and optimizing different pipelines that support various data science processes using Machine learning libraries such as TensorFlow, PyTorch, Scikit-learn.

    Experience with API development leveraging Fast API / Flask

    Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions

    Hands on experience with PySpark is a must

    Deployment utilizing containerization solutions like Docker and Kubernetes

    Must have experience in building Forecasting models

    Company Description· The work awarded is called Gulf Range Enhancement OTA. This OTA funds the company or testing efforts to enhance the Gulf Range. The Gulf Range is a land range 2-3x the size of Redstone. Testing ground for boats, planes, subsea product, etc. This team takes customer ideas makes it usable. They do all the mechanical, electrical, firmware, cyber, RF, networking, corrosion, obsolescence, integrations, fabrication, assembly, test. The customers who use the test range differ from who they are and what they want to test. Our team takes the want/idea, designs and develops a testable solution, and utilizes the repositories of techniques, tools, designs, etc. to continue to build our base solutions tool set. Because this is not one singular product and is a service to many potential products, the experience we are looking for needs to be multidisciplinary, general engineering services. Our team reprioritizes frequently.
    \t· They design/develops the solution all the way to the point of making it a testable product on the test range. One example that has just reached test phase is a 9x35 ft buoy out in the ocean that will serve as a launch pad for things. They will perform customer test support on it and are integrating into all their test operations.


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