Machine Learning Engineer - Austin - Simarn Solutions

    Simarn Solutions
    Simarn Solutions Austin

    1 week ago

    Description

    About the job Machine Learning Engineer (MLOps)
    Job Role: Machine Learning Engineer (MLOps)
    Location: Austin, Texas (Onsite)
    Type: 1099 Contract | C2H
    Job Description:

    • Experienced Machine Learning Engineer with 8-10+ years of hands-on expertise deploying and scaling machine learning models in production environments.
    • Skilled in operationalizing complex models and integrating them into enterprise systems with a focus on performance, scalability, and governance.
    • Partner with data science and engineering teams to deliver, optimize, and maintain production-grade ML models and pipelines.
    • Deploy and manage end-to-end machine learning workflows, from model development to operational monitoring.
    • Proficient in core ML algorithms such as Regression, Classification, and Natural Language Processing (sentiment analysis, topic modeling, TF-IDF).
    • Experienced with tools and frameworks including Scikit-learn, VADER Sentiment, Pandas, and PySpark.
    • Design and maintain dynamic data pipelines tailored to specific use cases.
    • Integrate machine learning solutions within business workflows, ensuring seamless coordination across upstream and downstream systems.
    • Develop and automate reporting pipelines for model performance metrics to support Model Risk Oversight and governance reviews.
    • Create and maintain runbooks for ongoing model support, versioning, and operational maintenance.

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