3 junior machine learning engineer jobs at 3 companies in Wales, WI
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Applied Machine Learning Engineer I - Advanced Engineering & Technology
Brookfield, Wisconsin, United States
OnsiteFull Time
Requires a relevant bachelor's degree, machine learning coursework or experience, applied ML experience in physical-world engineering or science, Python and scientific computing, SQL familiarity, deep learning framework exposure, and 10% travel availability.
Python, NumPy, SciPy, Pandas, scikit-learn, PyTorch, TensorFlow, SQL, Azure ML, AWS SageMaker
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Applied Machine Learning Engineer I - Advanced Engineering & Technology
Brookfield, Wisconsin, United States
OnsiteFull Time
BS in engineering or related field, applied ML experience for physical-world engineering, proficiency in Python and scientific ML libraries, strong math and problem-framing skills, ability to travel 10%.
Python, NumPy, SciPy, Pandas, scikit-learn, PyTorch, TensorFlow, SQL, Azure ML, AWS SageMaker
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GenAI Python Systems Engineer – Experienced Associate
Chicago or Raleigh or Charlotte or Cincinnati or Cleveland or Columbia or Columbus or Dallas or Baltimore or Richmond or Rochester or Rosemont or Sacramento or Boston or St. Louis or Salt Lake City or San Antonio or San Diego or San Francisco or San Juan or Seattle or Spartanburg or Albany or Stamford or Tampa or Toledo or Austin or Tulsa or Washington or Denver or Des Moines or Detroit or Buffalo or Florham Park or Fort Worth or Greensboro or Hartford or Houston or Grand Rapids or Indianapolis or Irvine or Jacksonville or Kansas City or Little Rock or Los Angeles or Birmingham or Fayetteville or Melville or Miami or Milwaukee or Minneapolis or Nashville or New Orleans or New York or Oklahoma City or Philadelphia or Phoenix or Pittsburgh or Portland
$63k-$140k/yr HybridFull Time
1+ YOEBachelor's degree and at least 1 year of experience required. Proficiency in Python and Scikit-Learn, AI implementation, data analysis and modeling, and machine learning solution development preferred.
Python, Scikit-Learn, AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake