SPOTTER

Remote Machine Learning Engineer

Lemont, IL, USPosted 1 month ago

Job Description

We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.

This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.

### What you'll do

  • Develop, train, and evaluate machine learning models.
  • Prepare and analyze datasets for model training.
  • Improve model performance through experimentation and testing.
  • Deploy and maintain ML models in production environments.
  • Collaborate with software engineers to integrate ML solutions into products.
  • Monitor model performance and continuously improve accuracy.
  • Stay up to date with new machine learning techniques and technologies.

### What we're looking for

  • Basic understanding of machine learning concepts and algorithms.
  • Experience with Python.
  • Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Comfortable working with data and writing clean, maintainable code.
  • Familiarity with Git.
  • Good problem-solving skills.
  • Strong written and verbal English communication.

### Nice to have

  • Experience with large language models (LLMs).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with SQL.
  • Experience deploying ML models.
  • Personal projects or open-source contributions related to AI or machine learning.

### Requirements

  • 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
  • Passion for learning and building AI solutions.

### What we offer

  • Fully remote work.
  • Flexible working environment.
  • Opportunity to w

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