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Machine Learning Engineer

The Judge Group Evanston Full-Time
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Machine Learning Engineer

Evanston, IL

Direct Hire/Full Time

As a Machine Learning Engineer, you drive the vision to build and scale our machine learning and experimentation platforms. This is your opportunity to make a big impact. You will work on cross-functional initiatives, such as service and container platforms, machine learning platforms, data security, data transformations, and much more.

Position Responsibilities/Duties:

  • Own the Machine Learning research and engineering efforts
  • Analyze problem domains and determine overall architecture for natural language machine processing solutions
  • Determine data type, format and quantity requirements
  • Select appropriate regression and/or machine learning models to apply
  • Create and deliver working, scalable, production-ready machine learning solutions
  • Define Machine Learning architecture best practices and keep up to date with the evolving opensource frameworks.
  • Contribute significantly to the growth and success of the company.
  • Conduct feature engineering to improve model performance on key business metrics

Required Skills and Abilities:

  • 2+ Years of professional experience building natural language machine learning models
  • Strong skills in Python, NLTK, NLP
  • Experience in using machine learning frameworks for natural language processing
 

Recommended skills

Natural Language Processing
Architecture
Feature Engineering
Python (Programming Language)
Nltk (Nlp Analysis)
Best Practices

Location

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$130K
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Machine Learning Engineer
Estimated Salary: $100K
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Job ID: 622102

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The Judge Group is a privately owned, leading professional services firm with nearly 50 years of experience in providing technology, talent, and learning solutions. Our services are successfully delivered through a network of more than 35 offices in the United States, Canada, and India. The Judge Group serves more than 47 Fortune 100 companies and is responsible for 7,000 professionals on assignment annually across a wide range of industries.

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