Machine Learning Engineer

A company that offers tools to simplify and unify business operations by connecting different applications and data in a single interface.
Tincup, CO 81210, USAOuray, CO, USAReno, NV, USA
$36,000 - $60,000
Machine Learning
Mid-Level Software Engineer
Remote
11 - 50 Employees
3+ years of experience
AI · Enterprise SaaS
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Description For Machine Learning Engineer

Typescouts is seeking a Machine Learning Engineer to join their innovative team. The company specializes in simplifying and unifying business operations through an intelligent platform that connects various applications and data in a single interface. This role is crucial in developing and maintaining the AI components that power their automation solutions.

As a Machine Learning Engineer, you'll be responsible for developing and training conversational AI models, ensuring their efficiency and accuracy, handling data preprocessing, and continuously improving AI agents based on user interactions and feedback. The position offers a competitive salary range of $36,000-$60,000 annually, with PTO benefits.

The ideal candidate will bring strong expertise in machine learning frameworks, natural language processing, and model deployment. You'll be working on cutting-edge AI applications that help businesses across various industries like retail, manufacturing, and construction streamline their operations and reduce manual processes.

This is a remote position working with a Canadian-based company, operating on EST hours (9am - 5pm). The role offers an exciting opportunity to work on meaningful AI applications that directly impact business efficiency and productivity. You'll be part of a team dedicated to reducing operational complexity and improving workflow efficiency through AI-powered solutions.

The position combines technical expertise with practical business applications, making it ideal for someone who wants to work on AI solutions that have tangible impacts on business operations. You'll be at the forefront of developing AI technology that helps companies better manage their operations and data while reducing the complexity of using multiple tools.

Last updated 3 months ago

Responsibilities For Machine Learning Engineer

  • Develop and train the conversational AI models
  • Ensure models are efficient and accurate
  • Handle data preprocessing
  • Continually improve the AI agents based on user interactions and feedback

Requirements For Machine Learning Engineer

Python
  • Proficiency in machine learning frameworks
  • Ability to design, train, and evaluate AI models for tasks such as speech recognition, text generation, and dialogue management
  • Experience with natural language processing (NLP)
  • Deep understanding and familiarity with model deployment

Benefits For Machine Learning Engineer

  • PTO

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